BSc in Computational Stats (Information Systems)

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:

BSc with Specialization in Information Technology and Computer Science

{Computational Statistics (Information Systems) Stream-ICP}

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

Purpose

This stream aims to educate and train statistical practitioners and professionals primarily involved in the business information needs of an organisation. It provides a sound understanding of computers databases, and the essence of statistical theory.

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 (Information Systems) Stream-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 business information systems	INF105-9
	Module 10	Introduction to the business world	OPS101-G
	Module 11	Modelling in a financial environment	OPS102-H
	Module 12	Comprehension skills for science	CSS101-H
Sem 4	Module 13	End-user computing	CEM101-A
	Module 14	Introduction to visual programming	COS114-X
	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 methods in statistics	STA211-N
	Module 20	Calculus in higher dimensions	MAT215-V
Sem 6	Module 21	Systems analysis and design	INF206-D
	Module 22	Object oriented concepts	INF207-E
	Module 23	Distribution theory	STA302-Q
	Module 24	Inference A	STA303-R

Year 4

Sem 7	Module 25	Analysis of variance and regression	STA305-T
	Module 26	Principles of databases	INF303-D
	Module 27	Advanced systems development	INF305-F
Sem 8	Module 28	Database design and implementation	INF307-H
	Module 29	Software project management	INF308-J
	Module 30	Forecasting	STA312-S

NOTE:

The year is divided into two semesters. Semester 1 starts on 1 Feb and Semester 2 starts on 1 July. Modules marked (S1 & S2) are offered both in Semester 1 and Semester 2. Unless indicated as (S1) or (S2), the module will have a duration of one year; therefore, the module is only offered in Semester 1.