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AIMS AND OBJECTIVES:

Aim
The programme is a Master of Technology (MTech) degree in Applied Statistics (Health Statistics). It is an advanced programme aimed at providing in-depth knowledge in Health data analysis and/or contributing to the body of knowledge through research.

Objectives

The objectives are to:

a) Develop strong ethical, technical, and professional skills which will enable students understand and appreciate the fundamental principles in health data analysis.

b) Equip students with Professional and Technical Skills in health statistics.

c) Introduce students to research skills in health statistics.

d) Introduce students to the theoretical concepts in statistics.

 

ENTRY REQUIREMENTS

BTech or BSc Biostatistics/Health Statistics/or equivalent qualification. All applicants must have a minimum of one (1) year post- qualification industrial experience. Preference will be given to applicants with first class and second class upper honours. First class BTech Health Statistics applicants may be admitted without the post-graduation industrial experience. Applicants with a second class (lower division) or lower qualifications must pass a selection interview before admission into the programme. Applicants with other Statistics or Mathematics backgrounds would be required to take relevant Health Science courses as prerequisites.

MODULAR COURSE-BASED PROGRAMME STRUCTURE AND THEIR CREDIT HOURS

 Programme structure

YEAR 1, SEMESTER 1

 

 

HOURS/WEEK

Course code

Course name

T

P

C

MHS 501

Multivariate Methods

2

2

3

MHS 503

Linear Statistical Modelling

1

4

3

MHS 505

Time Series Analysis

1

4

3

MHS 507

Advanced Statistical Inference

2

2

3

MHS 509

Health Statistics Project I

0

4

2

MHS 511

Principles of Public Health

1

1

1

MHS 513

Applied Health Statistics

2

2

3

MHS 515

Advanced Probability Distributions

1

1

1

MHS 517

Health Statistics Project II

0

4

2

TOTAL

 

8

28

21

YEAR 1, SEMESTER 2

 

 

HOURS/WEEK

Course Code

Course Name

T

P

C

MHS 502

Clinical Trials

2

1

2

MHS 504

Statistical Reporting on Clinical Research

1

4

3

MHS 506

Spatial Data Analysis

1

2

2

MHS 508

Concept of Epidemiology

2

1

2

MHS 510

Application of Epidemiology to Diseases

1

4

3

MHS 512

Health Statistics ProjectIII

0

4

2

MHS 514

Survival Data Analysis

1

4

3

MHS 516

Medical Sociology

2

1

2

MHS 518

Health Statistics ProjectIV

0

4

2

TOTAL

 

10

25

21

VACATION

 

 

HOURS/WEEK

Course Code

Course Name

T

P

C

MHS 500

Industrial Attachment

0

12

6

TOTAL

 

0

12

6

YEAR 2, SEMESTER 1

Course Code

Course Name

HOURS/WEEK

T

P

C

MHS 521

Seminar I (Comprehensive Exams)

0

6

3

MHS 523

Seminar II (Presentation of Preliminary Results)

0

6

3

MHS 525

Thesis I

0

18

9

TOTAL

 

0

36

15

YEAR 2, SEMESTER 2

Course Code

Course Name

HOURS/WEEK

T

P

C

MHS 522

Seminar III (Presentation of Final Report)

0

6

3

MHS 524

Thesis II

0

24

12

MHS 526

Seminar IV (Final Thesis Defence)

0

12

6

TOTAL

 

0

36

21

 

Programme Category
Programme Session
Programme Duration
Programme Type
Programme Department

About KsTU

Kumasi Technical University was established in 1954 as Kumasi Technical Institute (K. T. I. ) to offer craft courses. In 1963, the Institute was converted to a non-tertiary Polytechnic status under the Ghana Education Service to start offering, in addition, technician diploma and sub- professional courses.

Contact info

Location: Kumasi - Ashanti Region, Ghana, W/A

Postal Address: P. O. Box 854, Kumasi 

Email: info@kstu.edu.gh 

Tel: Admissions: +233(0)322 496 534, +233(0)322 496 380