Faculty of Computer & Mathematical Sciences

BROCHURE

BY COURSEWORK

CS702

Programme Profile:
The Master of Science in Applied Statistics programme is offered on a full-time and part-time basis in order to accommodate both working professionals and fresh graduates. The programme offers a curriculum that provides a balanced approach towards learning of statistical theory and its applications.

Programme Objective:
To produce graduates who are able to:

  • demonstrate a comprehensive and thorough understanding of statistical concepts.
  • apply advanced statistical knowledge in relevant areas.
  • identify and formulate problems in a given situation of greater complexity.
  • communicate ideas effectively in written and oral form.
  • work in a team on projects.
  • practice ethical standards in professional work.
  • manage information in decision-making for life-long learning.
  • apply managerial or entrepreneurship skills.
  • demonstrate leadership skills.


Mode and Duration
Full Time : 3-4 Semesters
Part Time : 4-8 Semesters

Classes are conducted on weekday evenings and Saturday.

Programme Structure
Core courses : 22 credit hours
Dissertation : 9 credit hours
Elective courses : 9 credit hours
Total credit hours : 40 credit hours

Suitable Candidates
Fresh graduates, researchers, professionals and executives who wish to enhance their analytical skills in decision making that are relevant for their career advancements in the public and corporate sectors.

Career Opportunities
The graduate can be employed as statisticians, research executives in financial industries, banking sectors, communication and media, medical and pharmaceutical sectors, agricultural sectors and quality assurance executives.

Admission Requirements

  • Bachelor Degree in any of the following areas of studies: Statistics, Actuarial Science, Mathematics, Engineering or any related programme with minimum CGPA of 2.75 or its equivalent, recognized by the UiTM Senate, or
  • Bachelor Degree in any of the following areas of studies: Statistics, Actuarial Science, Mathematics, Engineering or any related programme with minimum CGPA of 2.75 or its equivalent, recognized by the UiTM Senate, with at least two (2) years relevant working experience.

Plan of Study
All students are required to take the following courses:

Semester 1 Year 1
Classical and Bayesian Statistical Theory, Advanced Multivariate Analysis, Sampling Theory and one elective course

Semester 2 Year 1
Statistical Computing, Applied Statistical Modelling, Seminar on Contemporary Statistical Issues, Statistical Consultancy and one elective course

Semester 3 Year 2
Philosophy of Statistical Sciences, Dissertation in Applied Statistics and one elective course

Elective Courses
Students are required to select one of the three specializations. They are required to select only three elective courses from the chosen specialization.

Specialization 1: Biotechnology Industry
Statistical Data Mining, Biostatistics, Design and Analysis of Experiments, Quality Standards, Control and Improvement, Stochastic Processes in Biotechnology, Categorical Data Analysis

Specialization 2: Business
Statistical Data Mining, Advanced Time Series Modelling and Forecasting, Input-Output Analysis, Consumer Research, Marketing Models, Organizational Behavior

Specialization 3: Social Science
Statistical Data Mining, Categorical Data Analysis, Demographic Analysis, Applied Social Statistics, Advanced Techniques of Population Analysis, Advance Time Series Modelling and Forecasting, Input-Output Analysis.

CS707

Programme Profile
Master of Computer Science program is offered on a full time and part time basis in order to accommodate both fresh graduates and working professionals. It offers a curriculum that emphasizes the fundamentals in computing as well as its various applications.The emergence of new technologies in computing demands computer professionals to be well-versed in the related areas of computer science such as software engineering, database, multimedia, networking, data communication, security, and artificial intelligence. Thus, the Master of Science in Computer Science degree in UiTM is designed to further strengthen both theoretical and practical aspects of computer science.

Admission Requirements
Bachelor Degree qualification in Computing or Engineering, with minimum CGPA 2.50 or its equivalent, recognized by the UiTM senate; or

Bancelor Degree qualification in Computing or Engineering with CGPA less than 2.50 or its equivalent recognized by the UiTM senate, can be accepted, with a minimum of five (5) years working experience in the related field.

Mode & Duration
Full-time : 3 - 4 semesters
Part-time : 4 - 8 semesters

Classes are conducted on weekends or evenings of working days.

Total Graduating Credit Hours
41 hours

Course Outline
The Master of Science (Computer Science) program is conducted as follows:

- Candidates must pass all subjects with a CGPA of at least 3.00 to be awarded the degree.
- This program offers two options :
Option A : Coursework and 5 elective courses.
Option B : Coursework with dissertation.

Plan of Study
Semester 1 Year 1
Advanced Software Engineering, Advanced Computer Architecture and Organization, Automata Theory and Formal Languages, Research Methods in Computing, Philosophy of Computer Sciences.

Semester 2 Year 1
Compiler Constructions, Advanced Algorithm & Analysis, Reading in CS, Seminar in CS, Elective 1

Semester 3 Year 2
Computing Project, Emergent Computing Technologies, Elective 2

Career Oppotunities
Graduates have a wide range of career advancement opportunities in computer related organizations.

CS708

Programme Profile
The programme is aimed at professionals working in the field of computer networking technologies, who wish to further their education, gain a higher academic qualification and enhance their career prospects.

The programme offers an education based on key concept and advanced principles required to analyse, design, develop and manage future networking systems and understand current and future technologies.

At the end of the programme students are expected to develop professional attitudes and technical skills necessary to progress in the rapidly evolving field of networking technologies.

Admission Requirements
Bachelor Degree qualification in Computing or Engineering, with a minimum CGPA of 2.50 or its equivalent, recognized by the UiTM senate;
or

Bachelor Degree qualification in Computing or Engineering with CGPA less than 2.50 or its equivalent recognized by the UiTM senate, can be accepted, with a minimum of five (5) years working experience in the relevant field.

Mode & Duration
Full-time : 3 - 4 semesters
Part-time : 4 - 8 semesters

Classes are conducted on Weekends or evenings of working days.

Program Structure
The MSc (Computer Networking) by coursework only is a fully taught programme, which requires the candidates to follow a programme of nine (9) courses and a submission of a dissertation which is relevant to the focus of the programme.

Course Offered
Students are required to complete 42 credit units of courses and pass with a minimum B grade with a Cumulative Grade Point Average (CGPA) of at least 3.00.

Plan of Study
Semester 1 Year 1
Advanced Network Design and Management, High Speed Networks, Network Performance Modeling, Mobile Computing Technology, Elective I.

Semester 2 Year 1
Advanced Wireless Networks, Advanced Network Security, Advanced Network Programming, Research Methods in Computing, Advanced Internetwork Technologies.

Semester 3 Year 2
Advanced Distributed Systems, Computing Project, Elective II.

Programme by Coursework and Dissertation
The Master of Science in Computer Networking by coursework and dissertation programme is a combination of a taught course and a submission of a dissertation. This programme requires candidates to follow a programme of nine (9) courses and a submission of a dissertation which is relevant to the focus of the programme.

CS727

Programme Profile
Master of Computer Science (Web Technology) is to change the direction of the country’s landscape-oriented Web technology users (technologyuser) to the inventor (technology-creator). Technology users only use the existing infrastructure, while the inventor of the technology is able to create, modify and develop appropriate applications and platforms. Therefore, this program is structured to produce versatile graduates characterized by techno-entrepreneurs who will propel Malaysia to become a highincome developed countries and relevant to the objectives of the Malaysia Education Blueprint 2015-2025. The main goal of this program is intended to meet the challenges and demand for local and international markets to produce experts in the context of Web technology.

Programme Objective

Graduates who:

  • able to obtain creative and innovative solutions to web computing problems and provide quality services to web-based computing industries;
  • have expertise in analyzing and solving real-life problem using web-based technical and social approach for communicating research findings;
  • who have competent managerial and analytical skills with strategic leadership qualities;
  • who have sufficient technopreneurship knowledge as well as creative and innovative;

Program Structure
Fulltime and Partime

Suitable Candidates
Any computer-related or engineering or science-related undergraduates

Admission Requirements
Bachelor degree with honors in the field of computer science (level 6 KKM) OR related discipline from Universiti Teknologi MARA with a minimum CGPA of 2.75; OR

Bachelor degree with honors in the field of computer science (level 6 KKM) OR related discipline from local or foreign universities with a minimum CGPA of 2.75 or equivalent; OR

Bachelor degree with honors in the field of computer science (level 6 KKM) OR related discipline from local or foreign universities with a minimum CGPA of 2.50 and less than 2.75 with stringent internal evaluation; OR

Bachelor degree with honors in the field of computer science (level 6 KKM) OR related discipline from local or foreign universities with CGPA less than 2.50 AND subject to a minimum of 5 years working experience.

Mode & Duration

 

Full time

Part time

Long Semester

Short Semester

Long Semester

Short Semester

Number of weeks

17

-

17

-

Number of semester

3-4

-

4-8

-

Number of years

Min - 1 ½ years

Max - 2 years

Min - 2 years

Max - 4 years


Program Structure
The MSc (Computer Networking) by coursework only is a fully taught programme, which requires the candidates to follow a programme of nine (9) courses and a submission of a dissertation which is relevant to the focus of the programme.

Course Offered
Students are required to complete 42 credit units of courses and pass with a minimum B grade with a Cumulative Grade Point Average (CGPA) of at least 3.00.

Plan of Study

Semester 1, Year 1
Web Economics
Web Architecture
Seminar in Computer Science
Elective 1
Research Methods in Computing

Semester 2, Year 1
Web Technology and Engineering
Advanced Data Organization
Search Engine and Web Navigation
Reading in Computer Science
Elective 2

Semester 3, Year 2
Data Visualization
Web Intelligence
Computing Project

Electives
Interactive Computing
Network Society and Internet Culture
Virtual Environment
Adaptive Semantic Web
Web Information Security
Usability Engineering
Ethics and Cyber Law

Career Opportunities
Graduates have the opportunities to become experts in the field of web technology for local and global companies, competitive workforces who have advanced knowledge to lead the field of ICT and scholars who are able to explore new research areas and pursue higher academic achievements.

Top rank careers: Web Designer, Platform-based Web Developer


CS733

Programme Profile
The Master of Information Systems (Intelligent Systems) programme is designed to produce graduates in the field of Intelligent Systems with high capability of designing and developing software products in the field of intelligent computing. Graduates will be exposed to advanced knowledge in the application of intelligent computing in the organization. The programme is expected to produce a competent workforce in solving real problems and become a leader in research in the field of intelligent computing technologies.

Programme Objective
The objectives of the programme are :

  • To produce graduates the field of Intelligent Systems with high capability of designing and developing software products in the field of intelligent computing
  • To produce graduates in the field of Intelligent Systems that can apply intelligent computing with vast and advanced knowledge in the organization.
  • To produce competent workforce in solving real problems and molding research leader in the field of computer technology

Program Structure

CORE COURSES

27 credit hours

PROJECT

9 credit hours

ELECTIVE COURSES

6 credit hours

Total

42 credit hours


Admission Requirements
For international students :

TOEFL

- 550 (PAPER BASED)
- 213 (COMPUTER BASED)
- 70-80 (IBT)

OR

IELTS with at least band 6

For bumiputeras students :
Bachelor of Science(Hons) Computer Science from UiTM or its equivalent from other university approved by UiTM with a minimum HPNG of 2.75;

OR

Bachelor of Science(Hons) Computer Science OR any Bachelor from UiTM in related and appropriate area specialization OR any institution of higher education within and outside the country recognized by the Malaysian government with a cumulative grade point average (CGPA) of at least 2.50 and have work experience of at least two (2) years in a related field;

OR

Diploma in a related field from UiTM OR other universities recognized by Malaysian government AND at least 5 years working experience in a related field (selection will be made through interviews)

Mode & Duration
Full Time: (3 - 4 semester / 1½ - 2 tahun)
Part Time: (4 - 8 semester / 2 - 4 tahun)
Mode: Course Work (Mode C: 75:25)

The program requires at least 3 semesters. Each semester includes 14 weeks and do not include the revision week and no final exam.

Program Structure
The MSc (Computer Networking) by coursework only is a fully taught programme, which requires the candidates to follow a programme of nine (9) courses and a submission of a dissertation which is relevant to the focus of the programme.

Course Offered
Students are required to complete 42 credit units of courses and pass with a minimum B grade with a Cumulative Grade Point Average (CGPA) of at least 3.00.

Plan of Study

Semester 1 Year 1
Advance Information Systems, Research Methods in Computing, Philosophy of Artificial Intelligence, Advanced Decision Support Systems, Applied Knowledge-Based Systems.

Semester 2 Year 2
Neural Networks and Applications, Seminar in Applied Intelligent Systems, Optimization with Natured-Inspired Computing, Shaping Information System Project, Agent Technology.

Semester 3 Year 2
Computing Project, Elective I, Elective II

Elective Courses
Applied Data Mining, Intelligent Security Informatics, ICT Economics, Enterprise System Engineering, Advanced Signal processing , Advanced Data Networks , Image and Video Coding.

Suitable Candidates
Any computer-related or engineering or science-related undergraduates who wish to enhance their knowledge and analytical skills in intelligent computing for their career advancements

Earning a degree in this program will boost your employability together with providing a route for intelligent software developer with advance knowledge and valuable skills. Graduates in this master degree are able to fill job designations such as: Business Information Technology Analyst, Business Development Manager, Data Processing Manager, Data/System Analyst, Data Scientist, Intelligent Systems Engineer as well as Executive in Business Development

CS737

Programme Profile
The Master of Science in Strategic Information System with Business Management programme is offered on a full-time and part-time basis in order to accommodate both working professionals and fresh graduates. The programme offers a curriculum that are able to produce managers with the ability of planning, designing, conducting, and developing in the area of strategic information systems and business in solving real world problems.

Programme Objective
To produce graduates who are able to:

  • demonstrate a comprehensive and in-depth understanding of information system concepts, principles and processes.
  • apply knowledge of Information System/ Information Technology skills in management strategic decision in business environment.
  • synthesize strategic thinking, direction section and planning skills to effectively lead an organization / business.
  • communicate ideas effectively in written and oral form in an enterprise environment.
  • work cooperatively in a team on Information Technology business related projects.
  • practice proper governance in term of professional, social, and ethical responsibilities in workplace.
  • manage enterprise information and knowledge through lifelong learning.
  • apply entrepreneurship skills to innovate high level information systems in business.
  • demonstrate good entrepreneur leadership qualities.


Admission Requirement
A Bachelor Degree (Honour) in the field of Computer Science, Information Technology, Business Computing OR related disciplines from Universiti Teknologi MARA or other Higher Learning Institutions recognized by the Malaysia government with a minimum CGPA of 2.75;

OR

A Bachelor Degree (Honour) in the field of Computer Science, Information Technology, Business Computing OR related disciplines from Universiti Teknologi MARA or other Higher Learning Institutions recognized by the Malaysia government with CGPA more than 2.50 but less than 2.75, can be considered subject to strict internal evaluation process;

OR

A Bachelor Degree (Honour) in the field of Computer Science, Information Technology, Business Computing OR related disciplines from Universiti Teknologi MARA or other Higher Learning Institutions recognized by the Malaysia government with CGPA less than 2.50 and minimum FIVE years of working experience in the relevant field.

A candidate without a bachelor degree in Computer Sciences OR Science Technology is required to take the prerequisite modules in order to be considered.

For International students, they need to have a minimum score of 550 in Test of English as a Foreign Language (TOEFL) OR band 5.0 in English Language Testing System (IELTS)

Mode & Duration
Full Time : 3-4 Semesters
Part Time : 4-8 Semesters

Classes are conducted on weekday evenings and weekends.

Plan of Study
All students are required to take the following courses:

Semester 1 Year 1
Research Methods in Computing, Information System Strategic Planning, Organization Behaviour, Information System Project Management

Semester 2 Year 1
Shaping Information System Projects, Enterprise Wide E-Business, Advanced Decision Support System

Semester 3 Year 2
Managerial Finance, Strategic Marketing Management, Computing Project

Elective Courses
Students are required to select only three elective courses.

ICT Economics, Enterprise System Engineering, IS Governance, Seminar in Global Issues, IT Risk Management in Enterprise Environment, Advanced Information Systems, Information Security Management.

Programme Structures

CORE COURSES

24 credit hours

PROJECT

9 credit hours

ELECTIVE COURSES

9 credit hours

Total

42 credit hours

Suitable Candidates
Fresh graduates, researchers, professionals, executives and managers who wish to enhance their analytical skills in decision making that are relevant for their career advancements in the public and corporate sectors.

Career Opportunities
The graduate can be employed as Business Analyst, Data Scientist, Business Information Technology Analyst, Business Development Manager, Market Business Analyst, Data Processing Manager, Database Analyst, Business Development Executive, Chief Information Officer, Information System/ Information Technology Manager, Information System/ Information Technology Executive and Project Manager in public and corporate sectors.

CS770

Programme Profile
Strategic Thinking, Professional Attitude, Dynamic Team Player and Respectful; these are some of the values highly sought after by the industry. These values are embedded within the Master of Science in Information Technology (MSIT) programme.

We offer an exciting portfolio that is multidisciplinary in nature. The programme is designed to provide theoretical grounding, practical knowledge and hands-on experience responding to the demands of private and public organizations for qualified IT professional. The MSIT programme facilitates a friendly and supporting learning environment where students would grasp IT concepts, theories and practices. We believe a good learning climate can equip students with a wide range of IT skills and expertise.

The MSIT programme aims for students who are dynamic, creative and innovative and this is reflected through the teaching methods and content. They mirror the dynamic nature of technological advances in society today. As a student you will have the opportunity to explore a variety of areas including: problem solving skills, data technology and security, human computer interaction, strategic and innovative planning, human factors, user experience and ethical issues.

Understanding the demands of job commitments and student requirements, this coursework programme offers flexibility where students can choose one among four tracks; (i) Technology Track, (ii) Management Track, (iii) Human Centered Informatics Track or (iv) Research Track. Each track is embedded with taught and project element, essential in developing students’ abilities in management and problem solving skills. Further to this, the MSIT programme is offered both on a full-time and part-time basis.

Programme Learning Outcomes
To produce graduates who are:

  • Able to demonstrate comprehensive understanding of IT-related issues in organizations.
  • Able to apply IT concepts, principles and practices for effective judgement in the selection and use of IT tools and techniques.
  • Able to demonstrate systematic and methodological problem solving capability in handling IT-related issues.
  • Able to present complex IT solutions, decisions and recommendations to both IT and non-IT audience via professional technical reports and presentations.
  • Able to carry out tasks and responsibilities in IT-related issues independently and cooperatively.
  • Able to demonstrate behaviors and practices of IT that are consistent with the code of professional ethics and responsibilities.
  • Able to manage information for decision-making in real-life IT-related issues.
  • Able to apply information, managerial and entrepreneurship skills in IT.
  • Able to demonstrate the full range of skills needed to plan and manage IT projects.

Program Structure

  • Core Courses : 35 credit hours
  • Elective Courses : 6 credit hours
  • Total Credit Hours : 41 credit hours

Mode & Duration
Full-Time: 3 - 4 Semesters
Part-Time: 4 - 8 Semesters

Classes are normally conducted on weekdays for full time and weekend (Saturday) for part time students.*

* Subjected to changes.

Admission Requirement
Bachelor Degree qualification in Computing, with a minimum CGPA of 2.50 or its equivalent, recognized by the UiTM senate; or

Bachelor Degree qualification in Computing with CGPA less than 2.50 or its equivalent, recognized by the UiTM senate, can be accepted, with a minimum of five (5) years working experience in the relevant field.

Note: Candidate with qualification other than Computing field can be accepted with the condition of taking prerequisite module as an early preparation for their graduate studies.

Plan of Study

(i) Full time *

All students are required to take the following core courses:-

Semester 1

  • Information and Convergence Technology
  • Problem Solving Formalisms for Information Technology
  • Information Technology Infrastructure
  • Human Centered Informatics
  • Advanced Data Technology

Semester 2

  • Research Methods in Computing
  • Advanced Web Systems Engineering
  • Strategic Information Technology Planning
  • Information Technology Entrepreneurship and Innovation

Semester 3

  • Computing Project
  • Professional and Societal Issues in Information Technology

 

Students are required to choose only one among the four tracks:

(i) Technology Track
(ii) Management Track
(iii) Human Centered Informatics Track
(iv) Research Track

 

 

 

 

 

 

 

(i) Technology Track **
(Choose only two electives)

  • Enterprise Systems Engineering
  • Advanced Information and Network Security
  • Advanced E-Commerce Technology
  • Advanced Knowledge Management Technology
  • Social Computing

(ii) Management Track **
(Choose only two electives)

  • Information Technology Management
  • Advanced Decision Support Systems
  • Organizational Informatics
  • Information Technology and Global Development
  • Advanced Information Technology Project Management

(iii) Human Centered Informatics Track **
(Choose only two electives)

  • Advanced Interaction Design
  • Theories and Models in Human Computer Interaction
  • Designing for Usability and User Experience
  • Human Factors in Systems Engineering
  • Interaction and Learning Technologies

(iv) Research Track

  • Information Technology Research Project

Note

* Subjected to changes.
** Subjected to the availability of the elective courses.
Please refer to the Faculty’s website for an updated version.

   

(ii) Part Time *

All students are required to take the following core courses:-

Semester 1

  • Information and Convergence Technology
  • Problem Solving Formalisms for Information Technology
  • Information Technology Infrastructure
  • Human Centered Informatics

Semester 2

  • Advanced Data Technology
  • Advanced Web Systems Engineering
  • Professional and Societal Issues in Information Technology

Semester 3

  • Research Methods in Computing
  • Strategic Information Technology Planning
  • Information Technology Entrepreneurship and Innovation

Semester 4

  • Computing Project

 

Students are required to choose only one among the four tracks:

(i) Technology Track
(ii) Management Track
(iii) Human Centered Informatics Track
(iv) Research Track

 

 

 

 

 

 

(i) Technology Track **

(Choose only two electives)

  • Enterprise Systems Engineering
  • Advanced Information and Network Security
  • Advanced E-Commerce Technology
  • Advanced Knowledge Management Technology
  • Social Computing

(ii) Management Track **

(Choose only two electives)

  • Information Technology Management
  • Advanced Decision Support Systems
  • Organizational Informatics
  • Information Technology and Global Development
  • Advanced Information Technology Project Management

(iii) Human Centered Informatics Track **

(Choose only two electives)

  • Advanced Interaction Design
  • Theories and Models in Human Computer Interaction
  • Designing for Usability and User Experience
  • Human Factors in Systems Engineering
  • Interaction and Learning Technologies

(iv) Research Track

  • Information Technology Research Project

Note

* Subjected to changes.
** Subjected to the availability of the elective courses.

Please refer to the Faculty’s website for an updated version.


Career Opportunities
The content and methods applied in the coursework aims to help you develop your ability to think critically and creatively, to acquire problem-solving skills and communicate results effectively. These characteristics speak volume of an IT professional where all sectors in the industry root for.

Earning a degree in this program will enhance your employability as you will be equipped to take on leading roles in IT advancement where the demands for strategic planning and competency with high regards to professionalism and respect are particularly important. You will have the potential to become IT professionals, such as Programme Directors, Chief Technology Officers, Chief Information Officers or HCI specialist with the ability to leverage technology in providing a competitive advantage for the organization you serve.

Aiming for a higher qualification? Then, following this programme would provide a route for IT professional in developing valuable skills for management, problem solving, innovation, ideation and many more useful skills towards the pursuit of a PhD degree.

CS771

Programme Profile
The Master of Quantitative Science programme is offered on a full-time and part-time basis in order to accommodate both working professionals and fresh graduates. The term Quantitative Science may be regarded as related to the use of logical and rational analyses to solve complex decision making problems. It emphasizes the construction of mathematical models to investigate organizational problems to aid decision making.

This program is designed to study that addresses the issues of communication between decision makers, problem solvers and computer system builders, in particular, concentrating on the following elements:

- modeling and problem solving
- computing skills
- the study of context within which decision making takes place

These elements have been integrated into the program’s curriculum and are suitable to the needs of the industry that requires knowledge workers in all areas of economic sectors.

Programme Objectives

To produce graduates who are able to:

  • acquire the appropriate knowledge of quantitative sciences for decision making.
  • apply acquired skills of using quantitative sciences models for problem solving.
  • evaluate solutions using critical thinking with scientific skills for better decisions making.
  • communicate ideas on problem solving in oral and written form.
  • collaborate effectively as a team.
  • demonstrate ethical values and professionalism in decision making.
  • manage information and demonstrate life-long learning skills.
  • apply good managerial and entrepreneurial skills.
  • demonstrate leadership skills.

Admission Requirements

  • Bachelor Degree qualification in any of the following areas of studies: Statistics, Actuarial Science, Mathematics, Engineering, Economics, Business Studies or any related programme with minimum CGPA of 2.75 or its equivalent, recognized by the UiTM Senate; or
  • Bachelor Degree qualification in any of the following areas of studies: Statistics, Actuarial Science, Mathematics, Engineering, Economics, Business Studies or any related programme with minimum CGPA of 2.50 or its equivalent, recognized by the UiTM Senate, with at least two (2) years relevant working experience.


Program Structure
Students are required to select one of three specializations: Financial Engineering, Operations Management and Quantitative Economics. Students are required to complete a total of 42 credit hours comprising of 11 courses (3 credit hours each), and a dissertation (9 credit hours).

Mode & Duration
Full-time: 3 – 6 semesters
Part-time: 4 – 8 semesters

Classes are conducted on weekday evenings and Saturday.

Plan of Study

All students are required to take the following courses:

Semester 1 Year 1
Operations Management, Applied Econometrics, Advanced Time Series Modelling and Forecasting and one elective course.

Semester 2 Year 1
Research Methodology, Applied Data Mining, Advanced Operations Research and two elective courses.

Semester 3 Year 2
Simulation Modelling and Analysis, Strategic Management, Research Project for Quantitative Sciences.

Elective Courses
Students are required to select only two elective courses from the chosen specialization and one from any specialization.

Specialization 1: Financial Engineering
Stochastic Models, Valuation and Risk Management of Fixed Income Securities.

Specialization 2: Operations Management
Supply Chain and Logistic Modelling, Project Analysis, Quality Management and Analysis

Specialization 3: Quantitative Economics
Input-Output Analysis, Quantitative Economics Analysis, Applied Sampling and Survey Design, Marketing Models, Quantitative Marketing, Marketing Management, International Business.

Career Opportunities
Degree holders in Quantitative Sciences can be employed in managerial tasks such as decision making, market research, quality control, supply chain operation, banking and financial in both public and private sectors

Aiming for a higher qualification? Then, following this programme would provide a route for IT professional in developing valuable skills for management, problem solving, innovation, ideation and many more useful skills towards the pursuit of a PhD degree.

Suitable Candidates
Fresh graduates, researchers, professionals and executives who wish to enhance their analytical skills in decision making that are relevant for their career advancements in the public and corporate sectors.

CS773

Programme Profile
The Masters of Science in Applied Mathematics is a two semester program giving in-depth knowledge of advanced applied mathematics topics and computational tools in three areas, computational mathematics, engineering mathematics and financial and management mathematics. Students are required to do a 20 credit hour dissertation in the second semester.

The program aims to sharpen analytical, modeling and problem solving skills for career advancement in industry, business, management, education and other professions wherever mathematics is applied. Graduates will also be well prepared to further their studies at the doctoral program.

Programme Objectives
To produce graduates who are able to:

  • demonstrate a comprehensive and thorough understanding of mathematical concepts
  • employ mathematical techniques, skills and ICT tools in solving mathematical problems
  • identify, analyze, formulate and solve related problems mathematically
  • communicate ideas effectively in written and oral form.
  • collaborate with other researchers
  • adhere to ethical standards and practices in professional work
  • use mathematical knowledge for life-long learning
  • manage mathematics project, conduct consultation and involve in entrepreneurship
  • lead and work in a team on problem solving projects.

Suitable Candidates
Graduates of mathematics, researchers and professionals in the mathematics environment, who wish to deepen their knowledge in applied mathematics and enhance their analytical and problem modeling and solving skill.

Mode & Duration
Full time: 2-3 semesters

Classes are conducted during the day, Monday to Friday

Programme Structure
Students are required to complete a total of 40 credit hours, comprising of 16 credit hours in semester one (1 core course and 3 elective course of 3 credits each) and 24 credit hours in semester two (1 elective course of 4 credits and dissertation of 20 credits)

Plan of Study
All students are required to take the following courses:

Semester 1 Year 1
Matrix Theory and 3 elective courses

Semester 2 Year 1
Dissertation and 1 elective course

Students are required to choose one of the three tracks and select elective courses from the chosen track.

Track 1: Computational Mathematics

Semester one:

Choose three from : Fundamentals of Numerical Analysis ,Computational Mathematics ,Dynamical Systems, Fluid Mechanics and Heat/Mass Transfer, Finite Difference Methods for Partial Differential Equations.

Semester two:

Chose one from: Mathematics for Parallel Computation ,Advanced Mathematical Methods .

Track 2: Engineering Mathematics

Semester one:

Choose three from : Mathematical programming, Computational Mathematics ,Dynamical Systems, Fluid Mechanics and Heat/Mass Transfer, Finite Difference Methods for Partial Differential Equations.

Semester two:

Chose one from: Mathematics for Parallel Computation ,Advanced Mathematical Methods .

Track 3: Financial and Management Mathematics

Semester one:

Choose three from : Mathematical programming, Financial Mathematics ,Fuzzy Modelling for Finance and Management, Mathematics in Logistics , Discrete Event Simulation Techniques

Semester two:

Chose one from: Advanced Mathematical Methods , Mathematics in Financial Risk Management .


Career Opportunities
Graduates could be involved in any work wherever mathematics is applied - from being a climate analyst, a forensic scientist, an engineer working in improving quality of yield and output of industry to someone in the financial markets, concerned with value of stock, bonds and derivatives or a manager or planner determining policies in optimizing procedural efficiency.

CS779

Programme Profile
Data science, also known as data-driven science, is an interdisciplinary field about scientific methods, processes, and systems to extract knowledge or insights from data in various forms, either structured or unstructured. The Master of Data Science program aims to produce data professionals who are passionate about drawing meaningful insights from data using data science approach. The program is designed to provide you good analytical and programming skills to use data science from data storage, data analytics to practical applications with the aim of improving business or organization performance.

Programme Objectives

  • To produce knowledgeable and technically competent data professionals who can lead in the field of data science.
  • To produce dynamic scholars who have critical thinking skills, able to innovate and develop new research ideas and solutions, and can contribute to society and nation technological advancement.

Admission Requirement

For bumiputeras students :
A Bachelor’s Degree (level 6,Malaysian Qualification Framework, MQF) or its equivalent in the field of science, computer science, engineering, mathematics, statistics, business or economics or other related discipline from Universiti Teknologi MARA OR other local or foreign universities recognized by the Malaysian Government with a minimum CGPA of 2.75 or equivalent;

OR
A Bachelor’s Degree (level 6, MQF) or its equivalent, in the field of science, computer science, engineering, mathematics, statistics, business or economics or other related discipline with a minimum CGPA of 2.50 and not meeting CGPA of 2.75, can be accepted subject to rigorous internal assessment process;

OR
A Bachelor’s Degree (level 6, MQF) or its equivalent, in the field of science, computer science, engineering, mathematics, statistics, business or economics or other related discipline with CGPA less than 2.50, with a minimum of 5 years working experience in a relevant field may be accepted.

For international students :

TOEFL550 (PAPER BASED)
213 (COMPUTER BASED)
70-80 (IBT)

OR

IELTS with at least band 6

Mode & Duration

  • Full Time: (3 - 4 semesters / 1½ - 2 years)
  • Part Time: (4 - 8 semesters / 2 - 4 years)


Programme Structure

CORE COURSES

24 credit hours

PROJECT

9 credit hours

ELECTIVE COURSES

9 credit hours

Total

42 credit hours

Plan of Study
Semester 1 Year 1
Enterprise Data Analytics, Advanced Data Organization, Statistical Computing, Research Methodology

Semester 2 Year 2
Advanced Data Science Technology , Statistical Data Mining, Advanced Decision Support System, Seminar and Industry Engagement, Elective I

Semester 3 Year 2
Data Science Project, Elective II, Elective III

Elective Courses
Business
Customer Analytics, Operations Analytics, People Analytics

Computing
Optimization with Natured Inspired Computing, Data Visualization, Text Analytics

Geo-spatial
Advanced GIS, Geo-spatial Analysis and Modelling, Geo-visualization

Statistics
Time-series modelling and Forecasting, Applied Statistical Modelling, Applied Multivariate Analysis

Career Opportunities
Graduates of this master degree are able to fill job designations such as: Data Engineer, Data Analyst, Data Modeler, Business Analyst, Data Scientist, Public Health Analyst, Operations Manager, Systems Analyst, Market Analyst, Intelligent Systems Engineer and Business Development Manager.

The graduates will have job opportunities in various sectors: business, finance, manufacturing, transportation, banking, insurance, telco, retail, medical and oil & gas industries.

 

CS717 Mixed Mode

Programme Profile
The Master of Computer Science in Language Computing Technology is mixed-mode programme (coursework plus dissertation) that offered on a full-time and part-time basis in order to accommodate both working professionals and fresh graduates. This program is designed to introduce students to the fundamentals concepts and the ideas of computers ability to recognize, understand, interpretation, written, spoken, produce and imitate human languages. It develops an in-depth understanding of both the algorithms available for the processing of linguistic information and the underlying computational properties of natural languages. This program simplifies and improves computer-man communication and generally supports communication between people. From a cognitive perspective the study of language computing technology aims at comprehending the framework and ingredients of an effortless man-computer communication, preferably as effortless as man-man communication.

Programme Objectives
To produce graduates who are able to:

  • Demonstrate a comprehensive and thorough understanding of language computing concepts.
  • Apply advanced statistical knowledge in relevant areas.
  • Identify and formulate problems in a given situation of greater complexity.
  • Communicate ideas effectively in written and oral form.
  • Work in a team on projects.
  • Practice ethical standards in professional work.
  • Manage information in decision-making for life-long learning.
  • Apply managerial or entrepreneurship skills.
  • Demonstrate leadership skills.

Suitable Candidates
Fresh graduates, researchers, professionals and executives who wish to enhance their analytical skills in decision making that are relevant for their career advancements in the public and corporate sectors.

Mode & Duration
Full Time : 3-4 Semesters
Part Time : 4-8 Semesters

Classes are conducted on Saturday and Sunday.

Programme Structure
Core courses : 19 credit hours
Dissertation : 21 credit hours
Total credit hours : 40 credit hours

Career Opportunities
The qualified graduates have a wide range of opportunities in industry and public sectors such as: • Speech processing and recognition system development • Machine learning and translation system • Semantic web search engine developer • E-Learning • Spoken language applications • Text understanding and Summarization system• Question answering and Cross-linguistic information retrieval system administrator.


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BY RESEARCH

CS750

Programme Profile
The Master of Science by research programme provides support and guidance that will help highly motivated individuals extend and deepen their research interests through a process of focused academic enquiry to a mastery level.

Submission of a thesis that demonstrates the candidate's capacity of independent advanced research to the satisfaction of the faculty is a requirement of the MSc. The thesis must be first approved by the Thesis Examiners Committee consisting of at least internal examiner and external examiner.

Upon recommendation to the Senate of UiTM by the faculty and the Institute of Graduate Studies, the degree of MSc is conferred on the candidates who have satisfactorily shown an ability to do independent investigation, completed all requirements as prescribed by the faculty and who have satisfactorily presented the results of the research undertaken.

Admission Requirement
Bachelor of Science (Hons.) from UiTM in a related and appropriate area of specialization with minimum CGPA of 2.75;

or

Bachelor's degree or its equivalent from other recognized universities approved by UiTM with minimum CGPA of 2.75.

A candidate applying for admission into this programme is required to submit a research proposal to the faculty. The acceptance of a candidate shall be at the discretion of the UiTM Senate, whose decision shall be final.

Mode & Duration
Full Time : 1 1/2 - 3 Years, 3 semesters - 6 semesters
Part Time : 2 - 4 Years, 4 semesters - 8 semesters

Career Opportunities
Graduates of this programme will have an opportunity to be research scientists, research consultants, software specialists, managers or academicians in the government and private sectors.

CS751

Programme Profile
The Master of Science by research programme provides support and guidance that will help highly motivated individuals extend and deepen their research interests through a process of focused academic enquiry to a mastery level.

Submission of a thesis that demonstrates the candidate's capacity of independent advanced research to the satisfaction of the faculty is a requirement of the MSc. The thesis must be first approved by the Thesis Examiners Committee consisting of at least internal examiner and external examiner.

Upon recommendation to the Senate of UiTM by the faculty and the Institute of Graduate Studies, the degree of MSc is conferred on the candidates who have satisfactorily shown an ability to do independent investigation, completed all requirements as prescribed by the faculty and who have satisfactorily presented the results of the research undertaken.

Admission Requirement
Bachelor of Science (Hons.) from UiTM in a related and appropriate area of specialization with minimum CGPA of 2.75;

or

Bachelor's degree or its equivalent from other recognized universities approved by UiTM with minimum CGPA of 2.75.

A candidate applying for admission into this programme is required to submit a research proposal to the faculty. The acceptance of a candidate shall be at the discretion of the UiTM Senate, whose decision shall be final.

Mode & Duration
Full Time : 1 1/2 - 3 Years, 3 semesters - 6 semesters
Part Time : 2 - 4 Years, 4 semesters - 8 semesters

Career Opportunities
Graduates of this programme will have an opportunity to be research scientists, research consultants, software specialists, managers or academicians in the government and private sectors.

CS752

Programme Profile
The Master of Science by research programme provides support and guidance that will help highly motivated individuals extend and deepen their research interests through a process of focused academic enquiry to a mastery level.

Submission of a thesis that demonstrates the candidate's capacity of independent advanced research to the satisfaction of the faculty is a requirement of the MSc. The thesis must be first approved by the Thesis Examiners Committee consisting of at least internal examiner and external examiner.

Upon recommendation to the Senate of UiTM by the faculty and the Institute of Graduate Studies, the degree of MSc is conferred on the candidates who have satisfactorily shown an ability to do independent investigation, completed all requirements as prescribed by the faculty and who have satisfactorily presented the results of the research undertaken.

Admission Requirement
Bachelor of Science (Hons.) from UiTM in a related and appropriate area of specialization with minimum CGPA of 2.75;

or

Bachelor's degree or its equivalent from other recognized universities approved by UiTM with minimum CGPA of 2.75.

A candidate applying for admission into this programme is required to submit a research proposal to the faculty. The acceptance of a candidate shall be at the discretion of the UiTM Senate, whose decision shall be final.

Mode & Duration
Full Time : 1 1/2 - 3 Years, 3 semesters - 6 semesters
Part Time : 2 - 4 Years, 4 semesters - 8 semesters

Career Opportunities
Graduates of this programme will have an opportunity to be research scientists, research consultants, software specialists, managers or academicians in the government and private sectors.

CS753

Programme Profile
The Master of Science by research programme provides support and guidance that will help highly motivated individuals extend and deepen their research interests through a process of focused academic enquiry to a mastery level.

Submission of a thesis that demonstrates the candidate's capacity of independent advanced research to the satisfaction of the faculty is a requirement of the MSc. The thesis must be first approved by the Thesis Examiners Committee consisting of at least internal examiner and external examiner.

Upon recommendation to the Senate of UiTM by the faculty and the Institute of Graduate Studies, the degree of MSc is conferred on the candidates who have satisfactorily shown an ability to do independent investigation, completed all requirements as prescribed by the faculty and who have satisfactorily presented the results of the research undertaken.

Admission Requirement
Bachelor of Science (Hons.) from UiTM in a related and appropriate area of specialization with minimum CGPA of 2.75;

or

Bachelor's degree or its equivalent from other recognized universities approved by UiTM with minimum CGPA of 2.75.

A candidate applying for admission into this programme is required to submit a research proposal to the faculty. The acceptance of a candidate shall be at the discretion of the UiTM Senate, whose decision shall be final.

Mode & Duration
Full Time : 1 1/2 - 3 Years, 3 semesters - 6 semesters
Part Time : 2 - 4 Years, 4 semesters - 8 semesters

Career Opportunities
Graduates of this programme will have an opportunity to be research scientists, research consultants, software specialists, managers or academicians in the government and private sectors.

CS754

Programme Profile
The Master of Science by research programme provides support and guidance that will help highly motivated individuals extend and deepen their research interests through a process of focused academic enquiry to a mastery level.

Submission of a thesis that demonstrates the candidate's capacity of independent advanced research to the satisfaction of the faculty is a requirement of the MSc. The thesis must be first approved by the Thesis Examiners Committee consisting of at least internal examiner and external examiner.

Upon recommendation to the Senate of UiTM by the faculty and the Institute of Graduate Studies, the degree of MSc is conferred on the candidates who have satisfactorily shown an ability to do independent investigation, completed all requirements as prescribed by the faculty and who have satisfactorily presented the results of the research undertaken.

Admission Requirement
Bachelor of Science (Hons.) from UiTM in a related and appropriate area of specialization with minimum CGPA of 2.75;

or

Bachelor's degree or its equivalent from other recognized universities approved by UiTM with minimum CGPA of 2.75.

A candidate applying for admission into this programme is required to submit a research proposal to the faculty. The acceptance of a candidate shall be at the discretion of the UiTM Senate, whose decision shall be final.

Mode & Duration
Full Time : 1 1/2 - 3 Years, 3 semesters - 6 semesters
Part Time : 2 - 4 Years, 4 semesters - 8 semesters

Career Opportunities
Graduates of this programme will have an opportunity to be research scientists, research consultants, software specialists, managers or academicians in the government and private sectors.

CS755

Programme Profile
The Master of Science by research programme provides support and guidance that will help highly motivated individuals extend and deepen their research interests through a process of focused academic enquiry to a mastery level.

Submission of a thesis that demonstrates the candidate's capacity of independent advanced research to the satisfaction of the faculty is a requirement of the MSc. The thesis must be first approved by the Thesis Examiners Committee consisting of at least internal examiner and external examiner.

Upon recommendation to the Senate of UiTM by the faculty and the Institute of Graduate Studies, the degree of MSc is conferred on the candidates who have satisfactorily shown an ability to do independent investigation, completed all requirements as prescribed by the faculty and who have satisfactorily presented the results of the research undertaken.

Admission Requirement
Bachelor of Science (Hons.) from UiTM in a related and appropriate area of specialization with minimum CGPA of 2.75;

or

Bachelor's degree or its equivalent from other recognized universities approved by UiTM with minimum CGPA of 2.75.

A candidate applying for admission into this programme is required to submit a research proposal to the faculty. The acceptance of a candidate shall be at the discretion of the UiTM Senate, whose decision shall be final.

Mode & Duration
Full Time : 1 1/2 - 3 Years, 3 semesters - 6 semesters
Part Time : 2 - 4 Years, 4 semesters - 8 semesters

Career Opportunities
Graduates of this programme will have an opportunity to be research scientists, research consultants, software specialists, managers or academicians in the government and private sectors.

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PhD

CS950

Programme Profile
The Doctor of Philosophy programme is entirely research-based. It provides comprehensive training in a particular subject area through authentic exploration and experimentation, culminating in the preparation of a thesis of the research undertaken.

Submission of a thesis that demonstrates the candidate's capacity of independent advanced research to the satisfaction of the faculty is a requirement of the PhD. The thesis must be first approved by Thesis Examiner Committee consisting of an internal examiner and at least two external examiners.

Upon recommendation to the Senate of UiTM by the faculty and the Institute of Graduate Studies, the degree of PhD is conferred on candidates who have demonstrated substantial scholarship, high attainment in a particular field of knowledge, and an ability to do independent investigation and presentation results of their research.

Admission Requirements
Master degree from UiTM in the area of specialization to be pursued.

or

Master degree from other universities or any equivalent qualification from an institution approved by UiTM.

A candidate applying for admission into this programme is required to submit a research proposal to the faculty. The acceptance of a candidate shall be at the discretion of the UiTM senate, whose decision shall be final.

Mode & Duration
Full Time : 3-5 years, 6 semesters - 10 semesters
Part Time : 3-6 years, 6 semesters - 12 semesters

Career Opportunities
Graduates of this programme will have an opportunity to be research scientists, research consultants, software specialists, managers or academicians in the government and private sectors.

CS951

Programme Profile
The Doctor of Philosophy programme is entirely research-based. It provides comprehensive training in a particular subject area through authentic exploration and experimentation, culminating in the preparation of a thesis of the research undertaken.

Submission of a thesis that demonstrates the candidate's capacity of independent advanced research to the satisfaction of the faculty is a requirement of the PhD. The thesis must be first approved by Thesis Examiner Committee consisting of an internal examiner and at least two external examiners.

Upon recommendation to the Senate of UiTM by the faculty and the Institute of Graduate Studies, the degree of PhD is conferred on candidates who have demonstrated substantial scholarship, high attainment in a particular field of knowledge, and an ability to do independent investigation and presentation results of their research.

Admission Requirements
Master degree from UiTM in the area of specialization to be pursued.

or

Master degree from other universities or any equivalent qualification from an institution approved by UiTM.

A candidate applying for admission into this programme is required to submit a research proposal to the faculty. The acceptance of a candidate shall be at the discretion of the UiTM senate, whose decision shall be final.

Mode & Duration
Full Time : 3-5 years, 6 semesters - 10 semesters
Part Time : 3-6 years, 6 semesters - 12 semesters

Career Opportunities
Graduates of this programme will have an opportunity to be research scientists, research consultants, software specialists, managers or academicians in the government and private sectors.

CS952

Programme Profile
The Doctor of Philosophy programme is entirely research-based. It provides comprehensive training in a particular subject area through authentic exploration and experimentation, culminating in the preparation of a thesis of the research undertaken.

Submission of a thesis that demonstrates the candidate's capacity of independent advanced research to the satisfaction of the faculty is a requirement of the PhD. The thesis must be first approved by Thesis Examiner Committee consisting of an internal examiner and at least two external examiners.

Upon recommendation to the Senate of UiTM by the faculty and the Institute of Graduate Studies, the degree of PhD is conferred on candidates who have demonstrated substantial scholarship, high attainment in a particular field of knowledge, and an ability to do independent investigation and presentation results of their research.

Admission Requirements
Master degree from UiTM in the area of specialization to be pursued.

or

Master degree from other universities or any equivalent qualification from an institution approved by UiTM.

A candidate applying for admission into this programme is required to submit a research proposal to the faculty. The acceptance of a candidate shall be at the discretion of the UiTM senate, whose decision shall be final.

Mode & Duration
Full Time : 3-5 years, 6 semesters - 10 semesters
Part Time : 3-6 years, 6 semesters - 12 semesters

Career Opportunities
Graduates of this programme will have an opportunity to be research scientists, research consultants, software specialists, managers or academicians in the government and private sectors.

CS955

BROCHURE

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