MSc in Statistics

Mode of study
Attendance

Duration
1 Year

Campus
East Legon

Local Fees
GHS 20700.00

International Fees
GHS 23400.00

Entry year
2023-2024

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The Master of Science in Statistics programme is meticulously crafted to provide students with an in-depth understanding of statistical theory and methodologies, empowering them to apply their knowledge to real-world challenges and make well-informed decisions through data analysis. This rigorous programme establishes a strong foundation in statistical theory and computational skills, enabling students to proficiently analyze complex data sets and draw meaningful conclusions. Beyond core courses in mathematical statistics and probability theory, students can specialize in areas like biostatistics, econometrics, or data science, further enhancing their expertise in specific domains.

The programme places a significant emphasis on the practical applications of statistics, integrating hands-on projects and internships to provide students with valuable field experience. Armed with a Master of Science in Statistics, graduates are well-prepared for diverse career opportunities in industries such as healthcare, finance, technology, and government. Their analytical skills and ability to interpret data make them highly sought after in these sectors.

In summary, the Master of Science in Statistics programme delivers a comprehensive and rigorous education in statistical theory and methodology. This preparation equips students for successful careers in data analysis and decision-making, ensuring they are well-positioned to contribute meaningfully to various industries.

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Course Objectives

Technical Competence in Computer Science

One of the key benefits of pursuing a BSc Computer Science with Management degree is the solid foundation in computer science it provides. From programming languages to algorithms, database management to software development, you will gain a comprehensive understanding of the technical aspects of computer science. These skills will enable you to design and develop software systems, analyze complex data sets, and tackle real-world computational problems

Business Acumen and Management Skills

In addition to in-depth technical knowledge, this degree program equips you with essential business acumen and management skills. You will learn about organizational behavior, strategic management, project management, and entrepreneurship. This unique combination of computer science and management will make you well-rounded and better prepared to take on leadership roles in the tech industry.

Entry Requirements

This course creates a platform for an advanced financial education and you will explore a systematized flow and management of money and assets. Banking and Finance affords you an endless career options as you acquire expert knowledge, skill-set and requisite fundamentals of the financial world.

Direct Entry

Applicants with first degree with, at least, Second Class Honors (Lower Division) in Statistics or Mathematics or any quantitative-related discipline with substantial mathematical content would be admitted directly to this programme. 

Other Entry Qualifications

All foreign qualifications shall be referred to the Ghana Tertiary Education Commission (GTEC) or determination of equivalences and eligibility for admission to tertiary institutions in Ghana.

Academic Modules

No.

Course Code

Course Title

T

P

C

Core Courses

1

GSST 551

Advanced Statistical Methods

2

2

3

2

GSST 553

Probability Theory and Distributions

2

2

3

3

GSST 555

Advanced Design and Analysis of Experiments

2

2

3

4

GSST 557

Regression Analysis

2

2

3

Elective course  (Select at least one)

5

GSST 559

Environmental Statistics

2

2

3

6

GSST 561

Longitudinal Data Analysis

2

2

3

7

GSST 563

Applied Time Series and Forecasting

2

2

3

8

GSST 565

Life Contingency I

2

2

3

9

GSST 567

Economic Statistics

2

2

3

 

Total

 

10-12

10-12

15-18

No.

Course Code

Course Title

T

P

C

Core Courses

1

GSST 568

Statistical Inference

2

2

3

2

GSST 570

Research Methods

2

2

3

3

GSST 572

Bayesian Statistics

2

2

3

4

GSST 574

Multivariate Data Analysis

2

2

3

Elective course  (Select at least one)

5

GSST 576

Applied Stochastic Models

2

2

3

6

GSST 578

Econometrics

2

2

3

7

GSST 580

Life Contingency II

2

2

3

8

GSST 582

Demographic Models

2

2

3

 

Total

 

10-12

10-12

15-18

No.

Course Code

Course Title

T

P

C

Core Courses

1

GSST 571

Survival Data Analysis

2

2

3

2

GSST 573

Advanced Sample Survey

2

2

3

3

GSST 575

MSc Dissertation

0

12

6

Elective course  (Select at least one)

4

GSST 577

Operations Research

2

2

3

5

GSST 579

Actuarial Models

2

2

3

6

GSST 581

Financial Mathematics

2

2

3

7

GSST 583

Epidemiology

2

2

3

8

GSST 585

Population Analysis and  Official Statistics

2

2

3

 

Total

 

6-8

16-18

15-18

Career Prospects

• Data Analyst

• Actuarial Scientist

• Market Researcher

• Biostatistician

• Academician and Researcher

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Career Prospects

• Data Analyst

• Actuarial Scientist

• Market Researcher

• Biostatistician

• Academician and Researcher

Why choose MSc in Statistics

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Tuition costs

Explore detailed information about our tuition costs and payment options. We are committed to providing a transparent and affordable education for all our students.

Domestic fees

4-month semesters

Year 1 Semester Fees
20700.00
(12 credit minimum)

Year 2 Semester Fees
0.00
(12 credit minimum)

Year 3 Semester Fees
None
(12 credit minimum)

Year 4 Semester Fees
None
(12 credit minimum)

  • Total
  • $21,490

International fees

4-month semesters

Year 1 Semester Fees
23400.00
(12 credit minimum)

Year 2 Semester Fees
0.00
(12 credit minimum)

Year 3 Semester Fees
None
(12 credit minimum)

Year 4 Semester Fees
None
(12 credit minimum)

  • Total
  • $21,490

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