Welcome  to the Faculty of Science



The Faculty of Science was established at the inception of the then University College of Rhodesia and Nyasaland in 1957 with only five departments. 

The Faculty boasts of highly qualified staff in a variety of disciplines and quality flexible programmes to cater for the potential student, be it undergraduate or postgraduate students.
 

The Faculty of Science is part of the University of Zimbabwe committed to training scientists for both national and international development. The programmes offered in the Faculty have had a long history of success. They have been needs-based with regard to national development and self sufficiency in national manpower requirements. These programmes have operated under tested regulations. It is not an exaggeration that the programmes have acquired international recognition. The MSc programmes that have been running have produced graduates for both the public and private sectors as well as academic staff for the new state universities. It is regrettable however that due to the critical staffing situation, some of the programmes have had to suspend enrolment of students. However, some MSc programmes, especially in those departments that had thriving link programmes, have acquired international recognition and attracted students from the southern African region. The Faculty is proud of its record in postgraduate training by research. In the past 10 years, the Faculty has produced 22 M. Phil and 47 D. Phil students, all of whom have been absorbed into various sectors locally, regionally and internationally.

 

Mission Statement

Mission Statement
The Faculty of Science was established at the inception of the then University College of Rhodesia and Nyasaland in 1957. It boasts of highly quali...

Department

Departments
The programmes offered in the Faculty have had a long history of success. They have been needs-based with regard to national development and s...

Dean's Office

Deans Office
The Faculty of Science is part of the University of Zimbabwe committed to training scientists for both national and international development. The ...

Programmes on offer

Programmes on offer
It is not an exaggeration that the programmes have acquired international recognition. The MSc programmes that have been running have produced...
BSc with Statistics

Level 1 courses (STS1)

 

Course

code

Course description

Designation

Prerequisite

/Co-requisite

Course

units

STS101

Probability Theory 1

M,m,H

/ MTH101,102

10

STS102

Applied Statistics 1

H

 

10

STS111

Statistical Inference 1

H

/ MTH111,STS101

10

STS112

Applied Statistics 2

H

/STS101,102

10

STS004

Introduction to Statistics

 

 

10

            

STS004 may not be taken by a student who has passed one or more of STS101, STS102, STS111, and STS112.

            

Level 2 courses (STS2)

 

Course

code

Course description

Designation

Prerequisite

/Co-requisite

Course

units

STS201

Theory of Estimation

M,H

 

10

STS202

Survey Techniques Survey Techniques

H

 

10

STS203

Statistical Computing1

H

 

10

STS211

Regression Analysis and ANOVA

M,H

   /STS201

10

STS212

Social and Economic Statistics

 

 

10

STS213

Probability Theory 2

H

STS101

10

STS221

Testing of Hypotheses

M,H

STS201

10

 

Level 3 courses (STS3)

 

Course

code

Course description

Designation

Prerequisite

/Co-requisite

Course

units

STS301

Multivariate Analysis

H,M

 

10

STS302

Time Series                                    

H,M

 

10

STS311

Statistical Inference 2

H

 

10

STS312

Design and Analysis of Experiments

 

 

10

STS323

Econometrics

 

 

10

STS324

Demography

 

 

10

STS325

Operations Research

 

 

10

STS326

Official Statistics 1

 

 

10

STS327

Stochastic Process 1

 

 

10

 

Level 3 Honours courses (HSTS3)

 

In order to be considered for entry to the honours degree programme a student must have passed the following Mathematics courses: MTH101, MTH102, MTH111 as well as STS101, STS102, STS111, STS112, STS201, STS211, STS221, STS202, STS203, STS213. In addition he/she must have obtained good passes (2.1 or better)) in the six Level 2 Statistics courses listed above. A student who does not meet these standards may be considered under special entry provisions and may only be admitted at the recommendation of the Departmental Board after a selection exercise.

                                            

Course

code

Course description

Designation

Prerequisite

/Co-requisite

Course

units

HSTS301

Multivariate Analysis

H

 

10

HSTS302

Time Series

H

 

10

HSTS327

Stochastic Processes 1

 

 

10

HSTS361

Industrial /Community Attachment 1

 

 

5

HSTS331

Statistical Computing 2

 

 

10

HSTS311

Statistical Inference 3

H

 

10

HSTS312

Design and Analysis of Experiments

H

 

10

HSTS323

Econometrics          

 

 

10

HSTS324

Demography          

 

 

10

HSTS325

Operations Research

 

 

10

HSTS326

Official Statistics 2

 

 

10

HSTS332

Industrial Quality Control

 

 

10

HSTS333

Quality Management

 

 

10

HSTS334

Sampling Theory

 

 

10

HSTS336

Bioassays and Modelling

 

 

10

MTH202

Linear Algebra 1

 

 

 

MTH201

Analysis 1

H

 

10

MTH208

Advanced Calculus 1

H

 

10

 

A student must take precisely ONE of the courses MTH201, MTH208.

 

Level 4 Honours courses (HSTS4)

                              

Course

code

Course description

Designation

Prerequisite

/Co-requisite

Course

units

HSTS423

Econometrics         

 

 

10

HSTS424

Demography          

 

 

10

HSTS425

Operations Research

 

 

10

HSTS426

Official Statistics 1

 

 

10

HSTS427

Stochastic Processes 1

 

 

10

HSTS428

Stochastic Processes 2

 

 

10

HSTS401

Statistical computing 2

 

 

10

HSTS402

Industrial Quality Control        

 

 

10

HSTS403

Advanced Probability Theory

 

/HMTH321

20

HSTS405

Statistical Ecology

 

 

10

HSTS406

Bioassays and Modelling

 

 

10

HSTS407

Actuarial Statistics

 

 

20

HSTS408

Risk Theory                            

 

 

20

HSTS409

Official Statistics 2

 

HSTS326

10

HSTS410           

Applied Economic Statistics

 

HSTS323

10

HSTS411

General Linear Models

 

 

20

HSTS412

Dynamic Regression Models

 

 

20

HSTS413

Quality Management

 

 

10

HSTS414

Reliability Theory

 

 

20

HSTS415

Sampling Theory

 

 

10

HSTS461

Industrial/Community Attachment 2

 

 

5

HSTS470

Dissertation

H

 

20

                                               

Notes:

  1. a)The course HST461 should be pursued during the vacations.
  2. b)Each student will be required to spend at least two‑thirds of the vacation periods in attendance in the Department, in order to concentrate on the project work for the Dissertation.