Faculty of Computer Science and Mathematics

Bachelor of Science
(Data Analytics)

with Honours

PROGRAM OVERVIEW

The Bachelor of Science (Data Analytics) with Honours is designed to provide a program of study that combines data science, statistics, machine learning, and mathematics that is in line with the Industrial Revolution 4.0. The program applies the 2u2i elements through the implementation of 2.5 years of study in the university (university component) and 1 year of study in the industry (industrial component). Upon completion of this program, the students will also obtain SAS Certificate known as “SAS Academic specialization in Data Analytics”. The program curriculum has been fully integrated to meet the increasing need for highly skilled data analysts who can analyze the growing amount of data in a variety of disciplines and transform it into usable information for use in decision-making. The program also aims to address the high industry demand for business and data analysts. Graduates will be trained in the latest data analytics methods, concepts and tools used to make sense of data that are available in various forms through knowledge, skills, and abilities. Students will have an opportunity to work with the industry through their 4 industry component courses in the form of Work Based Learning (WBL) that are offered in the final year of study. This involves learning in a real-life industrial environment project related to IR4.0. The implementation of the 2u2i mode will expose students to actual learning and practice directly from relevant industry practitioners. Such training will add value to their qualification and increase their employment opportunities

This programme is offered for students to achieve the following objectives:

  • PEO1 : Able to apply knowledge (PLO1) and technical skills (PLO2) as well as practical skills supported by intellectual skills (PLO3) in the field of Data Analytics in line with the Industrial Revolution 4.0 (IR4.0)
  • PEO2 : Able to communicate effectively in various levels of autonomy (PLO4) as well as the ability to plan, manage relationships in teams and in organizations of different political, cultural and social backgrounds (PLO5)
  • PEO3 : Practicing knowledge in an ethical and professional manner, with integrity and accountability (PLO6)
  • PEO4 : Able to solve problems in an IR 4.0 environment effectively with the spirit of “esprit de corps” (PLO7) and able to make decisions critically and analytically in various levels of autonomy in the organization (PLO9)
  • PEO5 : Able to sharpen the entrepreneurial mindset related to IR 4.0 (PLO8) by leveraging knowledge and digital technology skills (PLO10) supported by quantitative skills to analyze and manage economic, political, social environment and climate change in IR 4.0 environment (PLO11)

At the end of this programme, student should be able to:

  • PLO1 :
  • PLO2 :
  • PLO3 :
  • PLO4 :
  • PLO5 :
  • PLO6 :
  • PLO7 :
  • PLO8 :
  • PLO9 :
  • PLO10 :
  • PLO11 :

CURRICULUM STRUCTURE

UNIVERSITY CORE COURSES
MDA3003 Introduction to Data Science (3 credits)
To be updated

This course covers the basic concept of corruption, including the value of integrity, anti-corruption, forms of corruption, abuse of power in daily activities and organizations as well as waysto prevent corruption. Cases related to corruption are discussed. Teaching and learning methods are implemented in the form of ‘experiential learning’ through individual and group activities. At the end of this course, students are able to understand the practice of integrity, the concept of corruption, anti-corruption, abuse of power as well as the prevention of corruption in society and organizations.

This course gives students an exposure to the basic concepts of entrepreneurship. Students will do learning activities that lead to building an entrepreneurial mindset as an initial preparation for a future career. This course provides an exposure to students on knowledge in entrepreneurship. It also gives students the opportunity to apply the knowledge obtained from their respective fields. In addition, the course aims to apply the entrepreneurial mind sets into their life after graduation.

This course is offered to international students who want to learn the fundamentals of the Malay Language to be used in daily conversations either in formal or informal settings. Students will also be trained to read simple reading materials and to write simple essays. Other than that, students will also be exposed to aspects of the Malaysian/Malay culture, through video presentations and field trip.

PROGRAMME CORE COURSES
MDA3044 Industrial Programming Language

This course contains basic programming and programming language; Problem solving techniques; flow diagram and structured algorithm; Program coding techniques and instructions to solve formal problems. Hands-on programming exercises will be given to expose students on integration of SQL, TensorFlow, and many other useful functions and libraries for data science and machine learning.

This course contains basic programming and programming language; Problem solving techniques; flow diagram and structured algorithm; Program coding techniques and instructions to solve formal problems. Hands-on programming exercises will be given to expose students on integration of SQL, TensorFlow, and many other useful functions and libraries for data science and machine learning.

This course contains basic programming and programming language; Problem solving techniques; flow diagram and structured algorithm; Program coding techniques and instructions to solve formal problems. Hands-on programming exercises will be given to strengthen students programming knowledge.

This course introduces the structure and organization of digital computers which includes Central Processing Unit (CPU), Main Memory (MM) and Input/Output (I/O). Functions and relationship between these components in instruction execution will also be discussed. In addition, students will also exposed to basic digital logics, structure  and organization of multiprocessors. The teaching and learning approach of this course incorporates Academic 4.0 criteria which is online learning environment (blended learning).

This course introduces software engineering principles and techniques including software process model, requirement engineering, design and testing. It also introduces product metrics in software.
This course is selected to expose students to important concepts in statistics that can be used to analyze data. The mastery of this knowledge is crucial to preventing misuse of statistics in data analysis and decision making.
This course introduces operating system concepts as well as discusses the mechanisms necessary for the protection and security of computer systems. Major topics in operating systems cover process, thread and multiprogramming concepts (scheduling, synchronization, deadlock etc.), memory management, storage management and file management. Students will also be exposed to the current technologies in operating system through a case study.
This course introduces programming methods to solve problems. Topics for this course include the introduction to data structure such as linked list, stack, queue, tree, graph, sorting techniques and searching methods. Emphasis will be given on modular programming technique. This course also introduces  algorithm time complexity as a measuring technique of an efficient algorithm.  In addition, the time complexity algorithm as an efficient algorithm measurement technique will also be introduced.
This course introduces object-oriented concepts in system development. Project management and planning, systems analysis, systems design, systems implementation and operation will be discussed in details. The student also will be taught on analysis dan design the object-oriented design by using UML notation and  particular tools.
This course introduces database concepts (goals of DBMS, relationships, physical and logical organization, schema and subschema); data models, normalisation (until BCNF), canonical schema and data independence; data description language; query facilities, query functions; design and translation strategies; and data integrity and reliability.
This course offers the knowledge of integrating a basic concept of Human Computer Interaction (HCI) with Web Design. This course also, practically, will expose students to the two (2) core technologies for building web sites which are Hypertext Markup Language (HTML) and Cascading Style Sheets (CSS). Before the end of this course, students will develop a simple web site by applying the principles and methods to the design of user-centred web sites.
This course exposes students the architecture, structure, functions and components of the Internet and other computer networks. By the end of the course, students will be able to build simple LANs, perform basic configurations for routers and switches, and implement IP addressing schemes.
This course introduces the fundamental concept of intelligent system and its applications. It covers the fundamental topic in intelligent system such as expert system, fuzzy logic, artificial neural network, computer evolution, hybrid system, data mining and intelligent agent.
This course introduces concepts and main components of IoT. Student will be exposed to the concept of IoT thru the network technology and protocol as well as the wireless environment. Students also will be exposed to the data analytics in a IoT environment. To increase the student learning experiences, exposure to the selected IoT application development will be carry-out in the lab.
This course introduces cyber security especially Internet. The usage of cryptography technique will be discussed. This course also introduces to student about form of threat to the internet. Several defence applications such as firewall and network analysis tools will be introduced to the student.

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SPECIALIZATION COURSES
MDA3014* Probability and Statistics for Data Analytics (4 credits)

ENTRY REQUIREMENTS

General Entry Requirements:

  • Obtain Sijil Pelajaran Malaysia (SPM) with credits in Bahasa Malaysia / Malay language and pass the History subjects beginning in 2013. Credit in Bahasa Malaysia / Malay language paper in July can also be accounted;
  • Obtain at least CGPA 2.00 with grade C in three (3) subjects including General Studies; and
  • Obtain at least level 1 (Band 1) in Malaysia University English Test (MUET) according to the validity period on the date of application.
 
  •  

Specific Requirements:

  • STPM (Science):

Pass STPM or equivalent, with a minimum Grade C (CGPA 2.00) in any TWO (2) subjects; 

AND

  • Obtained Credit/ Honors (Grade C) at SPM level in the following subjects: Additional Mathematics; or Mathematics and one of the subjects of Science, Technology or Engineering: Physics/ Chemistry/ Biology/ Additional Science/ Technical Communication Graphics/ Fundamentals of Sustainability/ Agriculture/ Home Science/ Invention/ Computer Science/ Sports Science/ Civil Engineering Studies/ Mechanical Engineering Studies/ Engineering Drawing/ Digital Graphic/ Multimedia Production.
    •  

                                                                                                  OR

  • Pass STPM in Science stream or equivalent, with a minimum Grade C (CGPA 2.00) in the following subjects: Mathematics (T); and one of the following Science/ ICT subjects: Information and Communications Technology/ Physics/ Chemistry/ Biology/ Sports Science/ Visual Arts.
  • Get at least Level 3 (Band 3) in the Malaysian University English Test (MUET).
 

General Entry Requirements:

  •  Obtain Sijil Pelajaran Malaysia (SPM) with credits in Bahasa Malaysia / Malay language and pass the History subjects beginning in 2013. Credit in Bahasa Malaysia / Malay language paper in July can also be accounted;
  • Pass Matriculation-KPM / Foundation Science in UM / Foundation in UiTM and obtain at least CGPA 2.00; and
  • Obtain at least level 1 (Band 1) in Malaysia University English Test (MUET) according to the validity period on the date of application.
 
  •  

Specific Requirements:

  •  Pass the Matriculation/Foundation program or equivalent with a minimum GPA of 2.00;
  •  

                                                                                         AND

  •  Obtain at least credit (Grade C) at SPM level in the following subjects: Additional Mathematics; or Mathematics and one (1) of the following Science, Technology or Engineering subjects: Physics/ Chemistry/ Biology/ Additional Science/ Technical Communication Graphics/ Fundamentals of Sustainability/ Agriculture/ Household Science/ Design/ Computer Science/ Sports Science/ Engineering Studies Public /Mechanical Engineering Studies/ Engineering Drawing/ Digital Graphic Design/ Multimedia Production
  • Get at least Level 3 (Band 3) in the Malaysian University English Test (MUET).

General Entry Requirements:

  • Obtain Sijil Pelajaran Malaysia (SPM) with credits in Bahasa Malaysia / Malay language and pass the History subjects beginning in 2013. Credit in Bahasa Malaysia / Malay language paper in July can also be accounted;
  • Obtain a Diploma or other qualification recognize as equivalent by the Government of Malaysia and approved by the Public University Senate;

OR

  • Pass Sijil Tinggi Persekolahan Malaysia (STPM) in 2018 or earlier and obtain at least grade C (NGMP 2.00) on three (3) subject included General Studies;

OR

  • Pass the Matriculation / Foundation exam in 2018 or earlier and obtain at least CGPA 2.00;

OR

  • Pass Sijil Tinggi Agama Malaysia (STAM) in 2017 or earlier and obtain at least Jayyid Stage;

AND

  • Obtain at least level 1 (Band 1) in Malaysia University English Test (MUET) according to the validity period on the date of application.
 

Specific Requirements:

Graduated with a Diploma in Computer Science or Software Engineering or Information Technology or Information Systems or equivalent with a minimum CGPA of 2.50

                                                                                     OR

  • Graduated with a Diploma in Science and Technology with a minimum CGPA of 2.50
  • Get at least Level 3 (Band 3) in the Malaysian University English Test (MUET)
 
  • Passed the Accreditation of Prior Experiential Learning (APEL) assessment conducted by MQA in related fields to be eligible for admission to Bachelor’s level programs (Level 6, Malaysian Qualifications Framework)
    * candidate must furnish the APEL Certificate from MQA before the admission process.
  • Get at least Level 3 (Band 3) in the Malaysian University English Test (MUET)
  •  

General Entry Requirements

  • Senior High School / Senior Secondary School / Other Certificates from the government schools (with the period of at least 11 to 12 years of study from primary to higher secondary); or
  • GCE ‘A’ Level examination obtained at one sitting; or
  • Any other certificate that is recognized by the Senate of the University as equivalent to the above; and 
 

English Language Requirements

  • Pass the Test of English Language as a Foreign Language (TOEFL) at least 550; or
  • Pass the International English Language Testing System (IELTS) at least 5.5; or
  • Pass the Malaysian University English Test (MUET) at least Band 3.
 

Our International Centre office will be happy to advise prospective students on entry requirements. See our International Centre website for further information for international students.

FEES AND FUNDING

Local

International

Additional Costs

RM   6,950

USD 7,220

Find out more about accommodation and living costs, plus general additional costs that you may pay when studying at UMT. 

Government funding

You may be eligible for government finance to help pay for the costs of studying. See the Government’s student finance website

Scholarships are available for excellence in academic and co-curricular activities, and are awarded on merit. For further information on the range of awards available and to make an application see our scholarships website.

Email : wannurwy@umt.edu.my
Phone: +609-668 3986 (office)
             +6014-833 3058 (mobile)

Programme Information:

Visit following website: https://fskm.umt.edu.my