Study MEng. Computer Engineering at Nile University

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Electrical power and systems are at the heart of modern society – and so too are electrical and electronics engineers

The Department of Electrical and Electronic Engineering (EEE) at the Nile University of Nigeria (NUN) offers Master of Engineering (M.Eng.) degree in Electrical and Electronics Engineering. It is a postgraduate program designed to provide professional training beyond the undergraduate level and to accelerate careers with specialized engineering expertise needed in business, government, and industry.

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About the University

Start Date

September entry

Duration

1.5 years

Fees

N2,200,000

Entry Requirements

Bachelor’s degree or PGD in related subject

Objective

This program aims to provide students with the technological and competitive skills needed in the design and engineering of modern electrical and electronics system. It provides students with opportunities to:

- Acquire a broad knowledge of electrical and electronic engineering systems;
- Develop a fundamental understanding of the principles of electrical and electronics engineering;
- Develop an understanding of the basic principles underlying the planning, design and management of communications, electronics, control and power systems;
- Obtain the mathematical and computational skills necessary for the solution of theoretical and practical electrical and electronics engineering problems;
- Develop high-level analytical, problem-solving and design skills applicable to electrical and electronics engineering systems;
- Develop high-level oral and written communication skills specific to the needs of the electrical and electronics engineering industry.

You will study the following modules:

1

First Semester

  • Advanced Engineering Mathematics
  • Operating system
  • Internet Engineering
  • Advanced Digital Signal Processing
  • Advanced Research and Development Techniques
  • Advanced Programming
  • GENERAL Electives

2

Second Semester

  • Embedded Systems
  • Computational Intelligence Techniques
  • Network Security and Management
  • SEMINAR
  • AREA ELECTIVES

3

Third Semester

  • Master's Thesis
AREA ELECTIVES TYPE A (ARTIFICIAL INTELLIGENCE AND ROBOTICS)
  • Advanced Microprocessor and microcontroller architecture
  • Modern Control Theory
  • Advanced Machine Learning
  • Big Data and Analytics
AREA ELECTIVES TYPE B (HARDWARE AND COMPUTER ARCHITECTURE SYSTEMS)
  • Distributed Systems
  • Computer Architecture
  • VLSI Principles and Applications
  • Advanced Microprocessor Design
  • Approved Electives
AREA ELECTIVE TYPE C (SOFTWARE FIRMWARE ENGINEERING)
  • Software Development in Telecommunication
  • Embedded Systems
  • Information theoretical design of algorithm
  • Software Engineering
  • Firmware programming
AREA ELECTIVE TYPE D (COMPUTER COMMUNICATION AND NETWORK)
  • Network security and Management
  • Network modelling and performance
  • Distributed Systems
  • Information theory and coding
AREA ELECTIVES TYPE E (CYBERSECURITY)
  • Computer Network Security and Management
  • Software Engineering
  • Cryptology Principles and Application
  • Cyber Security
GENERAL ELECTIVES
  • Satellite Communication
  • Network Security and Management
  • Microwave communication devices
  • Optical Communication
  • Internet Programming
  • Software development in telecommunication
  • Telecommunication database
  • Multimedia Technology and Programming
  • Cryptology Principles and application
  • Alternate Energy course
  • Antenna Design
  • Radio Propagation and fading
  • Project Management
  • Microwave communication devices
  • Advanced Image processing

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Frequently Asked Questions


  1. University Matriculation of 5 credit passes including English, Mathematics &two other relevant Science subjects at O-Level; and
  2. Approved Bachelor’s Degrees in relevant programmes with at least 2nd class lower division.
  3. Postgraduate Diploma (PGD) in relevant programmes with at least CGPA of 3.0/5.0.

Many of the concepts on this course involve mathematical techniques, therefore you are expected to have a working knowledge of calculus and should know the basics of vectors and matrices, probability and statistics.

The core modules are generally taught and assessed using case studies in lectures and seminars and in some modules group project-based work. Tutors are experts in their field with many having practical experience in industry and the professions which will help combine your academic knowledge with practical application. Many aspects of teaching and assessment are grounded in real life situations and, where possible, live projects are incorporated into the teaching.

The practical nature of the course places an emphasis on your future employability, with an aim to developing a wide range of technical, analytical, design and professional skills, many of which are gained from activity-led learning projects and placement experiences. The technical content is regularly reviewed and updated to reflect what is currently important and in demand in industry. Our programme is designed to give graduates the up-to-date skills and knowledge sought after by employers, whether in business, industry, government or research.

 

Whether you’re progressing from education or currently working within the industry, our postgraduate course aims to provide you with the required knowledge, skills and experience; as well as challenge your approach to complex situations. By providing practical project experience, team working opportunities and specialist knowledge of your chosen pathway, we can help develop your ability to work collaboratively and apply theory to real-life situations.


There are a variety of career opportunities for computer scientists from which you could find yourself working in the private and public sector in areas such as software engineering, health, communications, education, life sciences, physical sciences, finance and manufacturing.

Opportunities for course progression include PHD Computer Science

In 2020/21 the full-time tuition fee postgraduate students on this course will be N1,500,000 Per Session.

Tuition fees will cover the cost of your study at the University as well as charges for registration, tuition, supervision and examinations. For more information about funding, fees and finance please see link Fees and Finance

...

“Computer Science is not just about computers. Rather it is the study of computation and information and is a subject which involves you in the very make-up of the world, and over the last 30 years it has transformed the way we run our everyday lives. As a postgraduate student at Nile University, you will be working with other students and researchers in a friendly and collegial environment.”

Nwojo A Nnanna, Ph.D