Schools > School of Arts and Science > Advanced Diploma in Science
 
Computer Science and Statistics
 
This is a double major course in Computer Science and Statistics. It aims to produce graduates with sound knowledge in computer science and statistics. It equips students to become technically competent in the analysis, development and implementation of any automated information systems and together with the suitable statistics background, students are trained and prepared to have good reasoning and analytical abilities. It also equips students with mathematical and statistical skills needed to solve theoretical and practical problems in various aspects of industries. It covers both the practical and theoretical aspects of computing and includes subjects such as object-oriented systems analysis and design, business data communications, object-oriented programming, artificial intelligence, internet programming, operating systems and database systems. The statistics and mathematics units will greatly enhance students’ knowledge in computer science. The computer laboratories are equipped with a variety of software and a wide range of facilities for training students to acquire analytical and logical skills in problem solving and systems development.
 
With the opportunity for students to go for six months industrial training, students will be exposed to real-life industrial problems, which will be both challenging and rewarding in terms of the invaluable experience that they will gain. Students are trained to improve their problem solving skills so that they would be able to blend into the workforce easily.

    Academic and Professional Progression

Graduates have been accepted into postgraduate studies in many universities.
 
The Advanced Diploma in Science (Computer Science and Statistics) is recognised as suitable for progression to a Sheffield Hallam University (SHU) or Liverpool John Moores University (JMU), UK degree with prior credit. Advanced Diploma graduates of this programme can obtain the BSc (Hons) Information Technology or BSc (Hons) Information Technology (Computer Systems & Networks or Software Engineering) Degree from SHU or BSc (Hons) Computing and Information Systems Degree from JMU by completing the final semester of the programme at the respective university.
   
    Career Prospects
 
Advanced Diploma cum BS Degree graduates may find employment in a wide area of industries, such as banking and finance, engineering and manufacturing, consultancy firms, education, insurance, software house and computer vendors. Job positions for the graduates to work as analyst programmers, systems analysts, software engineers/developers, application engineers/developers, systems engineers, project leaders/coordinators, systems managers/executives, multimedia designers, database administrators, etc. are easily available after graduation. They can also be employed as statisticians, forecasters, statistical analysts and quantitative analysts.
 
    Minimum Entry Requirements
 
 
Diploma in Science (Computer Science and Statistics) from TAR College or other equivalent qualifications.
   
    Course Schedule

Course Schedule
Advanced Diploma in Science cum BS Degree (Computer Science and Statistics)
Unit Code Unit Title
Credit
AACS4134 Internet Programming
4
AACS4264 Object-Oriented Analysis and Design
4
AAMS4034 Advanced Calculus and Linear Algebra
4
AAMS4234 Distribution Theory
4
AELE3783 English for Management (Science)
3
  Liberal Arts Unit I
3
AACS4064 Object-Oriented Programming
4
AACS4214 Database Systems
4
AAMS4044 Discrete Mathematics
4
AAMS4264 Quality Control
4
AEMS3113 Moral dan Etika
3
AACS5034 Business Data Communications
4
AAMS5154 Operations Research
4
AACS5016 Project
6
AAMS5078 Industrial Training (6 months)
8
AACS5174 Artificial Intelligence
4
AACS5214 Computer Operating Systems
4
AAMS5234 Concepts of Statistical Inference
4
AAMS5264 Further Topics in Probability and Statistics
4
  Seminar
1
  Liberal Arts Unit II
3