BSC in Computational Stats (Programming)

 

 

Join over 15,000 international students from Europe, USA and the rest of the world.

MDCI has developed a unique partnership with University of South Africa (UNISA) to offer locally supported distance education programmes specifically for working people.

UNISA – The “MEGA” University

The main partner of MDCI for this programme is the highly regarded University of South Africa (UNISA) – classed as one of the 11 leading very large universities. Founded in 1873, UNISA gained its University Royal Charter in 1876. It became the world’s first completely Distance Education University in 1946.

MDCI is delighted to work with UNISA in the development of these programmes, and has an excellent reputation for the delivery of distance education to busy individuals. This has resulted in MDCI’s parent company being awarded the Queen’s award for Export Achievement in 1999.

We can now offer:

 

A Four Year BSc with Specialization in Information Technology and Computer Science {Computational Statistics (Programming) Stream-ICP}

(The curriculum for this degree comprises 30 modules with subject details shown on next page.)

Purpose

 

Statistics requires intelligent, critical and judicious use of computers.This stream provides the necessary statistical and computational techniques and skills required to make a meaningful contribution to any computing team.

Career Opportunities

Within the computer industry, a Computer Science major can prepare one for positions such as a programmer, software engineer, database administrator, systems analyst or systems programmer. There are also many other applications for Computer Science in fields such as graphic arts, manufacturing, education, security systems, electronic image processing, medical research and economics.

How it Works

The method of teaching this course is highly innovative. We call it “locally supported distance education” : learning through University supplied materials and MDCI administration and resource centres. It is based on MDCI “On-location” method of teaching which is so successful for postgraduate study here in the Middle East.

 

Locally Supported Distance Education

A specially designed study method based on Unisa’s extensive competence in distance education. This expertise is supplemented locally by MDCI’s considerable experience in supporting over 500 postgraduate students close to their homes but distant from the university.

 

Advantages of Locally Supported Distance Education

 

· Flexibility: you study at your own pace

· Convenience: you study from home

· Local administrative support: through MDCI’s regional offices

· On-line support: through Unisa’s Student on Line (SOL) system

· Telephone and email support: from Unisa faculty

· On-line library access: for the your all-important research materials (journals, books, papers, etc)

· Textbook ordering facility: speedy service at reasonable prices for your books.

 

Practical Work

Practical work in Computer Science and Information Systems mainly comprises
designing of systems and the writing of computer programmes. The programmes
have to be developed on suitable computers using prescribed computer
packages. Access to a suitable computer is an admission requirement for all
modules or subjects with a practical component. Students can gain access as
follows:

(1) by purchasing a computer for their own use
(2) by using a computer belonging to a study group, friend, computer bureau, or employer
(3) by reserving time on a computer at MDCI computer laboratory

 

Course Fees

Fees are payable in US Dollars. Each module is $290. The remaining module will be invoiced prior to each semester. Arrangements are available for pre-paying the first year or the complete course.

Enquires can be addressed to:

Management Development Centre International

P.O. Box 26305

Manama, Bahrain

Tel 00973 17216002

Fax 00973 17216007

e-mail: mdcimkt@batelco.com.bh

 

 

BSc with Specialization in Information Technology and Computer Science Computational Statistics (Programming) - ICP

 

Year 1

Sem 1
COURSE CODES
Module 1 Probability and statistics STA101-H
Module 2 Basic statistics STA105-M
Module 3 Applied statistics 1A STA106-N
Module 4 Distribution theory 1A STA111-K
Sem 2 Module 5 Pre-calculus mathematics B MAT111-N
Module 6 Calculus A MAT112-P
Module 7 Calculus B MAT113-Q
Module 8 Linear algebra MAT103-N

Year 2

Sem 3 Module 9 Introduction to programming 1 COS111-U
Module 10 Introduction to programming 2 COS112-V
Module 11 Computer systems: Fundamental concepts COS113-W
Module 12 Comprehension skills for science CSS101-H
Sem 4 Module 13 End-user computing CEM101-A
Module 14 Introduction to business information systems INF105-9
Module 15 Distribution theory 2 STA202-M
Module 16 Applied statistics STA203-N

Year 3

Sem 5 Module 17 Design of experiments STA204-P
Module 18 Sample surveys STA206-R
Module 19 Matrix of methods in statistics STA211-N
Module 20 Calculus in higher dimensions MAT215-V
Sem 6 Module 21 Programming: Data structures COS211-X
Module 22 Programming: Practical COS212-Y
Module 23 Numerical methods 1 COS233-8
Module 24 Distribution theory STA302-Q

Year 4

Sem 7 Module 25 Inference A STA303-R
Module 26 Analysis of variance and regression STA305-T
Module 27 Quality control and applied statistics STA306-U
Sem 8 Module 28 Forecasting STA312-S
Module 29 Computer science 332 COS332-A
Module 30 Principles of databases INF303-D