Diploma in Information Technology (DIT)

Designed to meet needs of employer and for self employment, holders of this diploma programme will be prepared to work in business and general organization environment providing services in terms of the following bundles of knowledge and expertise:
Apply network design to home and small scale networks.
Monitor and diagnose the operation of a complete IT infrastructure in order to detect faults and fix them accordingly.
Assist in customizing and tuning applications for the needs of a business.

Programme Structure 

 Year I

Year II

Semester I

Semester II

Field Practice

Semester I

Semester II

ICT 051

Introduction to Higher Level Programming

ICT 060

Linear Algebra

Practical Training

ICT 070

Introduction to Software Engineering

ICT 080

Network Operating System

ICT 052

Introduction to Database System

ICT 061

Computer Networks

ICT 071

Computer Networks Administration

ICT 081

Introduction to IT project Management

ICT 053

Calculus and Foundation Analysis

ICT 062

Maintaining Computer system

ICT 072

Designing of Web Driven Applications

ICT 082

Final Year Project

COM 075




ICT 063

Database Administration

ICT 073

Object Oriented Concepts

ICT 083

Fundamentals of IT Security

ICT 054

Basics of Operating systems

ICT 064

IT and Society

ICT 074

Discreet Mathematics


ICT 084: Fundamentals of Management Information Systems
ICT 085: Techno-Entrepreneurship & Innovations
ICT 086: Human Computer Interface Design

Diploma in Applied Statistics
Programme Objectives

To promote the study and dissemination of knowledge of Statistics, to develop statistical theory and methods, and their use in research and practical applications generally, with special reference to problems of planning of national development and social welfare.
To undertake research in various fields of natural and social sciences, with a view to the mutual development of Statistics and these sciences.
To provide for, and undertake, the collection of information, investigation, projects and operational research for purposes of planning and the improvement of efficiency of management and production.

Programme structure 

Year I



Semester I

Semester II

Semester I

Semester II

COM 080:

Study skills and business communication

QMS 061:

Applied General Statistics


QMS 071:

Principles of Design of Experiments

QMS 081:

Applied Econometric Methods

ICT 051:

Introduction to Higher Level Programming

PUB 053: Principles and Functions of Management

QMS 072:

Mathematical Methods II

QMS 082:

Industrial Statistics

QMS 051

Mathematical methods I

QMS 062:

Statistical Theory

ACC 088:

Basic Government Accounting

QMS 083:

Health Statistics


Introduction to Database system

QMS 063:

Sampling Theory with Applications

QMS 073:

Introduction to Demography and Population

BUS 085:

Introduction To Business Planning And Small Business Management

ECO 055:

Economic and Social Statistics

QMS 064:

Statistical computing

QMS 074:

Statistical Inference And Scientific Methods

QMS 084:

Time Series Analysis







For more infomation contact
The Dean,
Faculrt of Science and Technology,
P.O.Box 1,
Mzumbe, Morogoro.
Telephone : +255742762012,
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.,
Website: fst.mzumbe.ac.tz