Grooming Tomorrow's Computer Gurus

A simple abacus may have inspired its invention, but after gaining its greatness in the last two decades of the 20th century, computers have taken the lead in technological developments across the globe in recent years.

With the ever-evolving area of complex computer systems, hardware and software, the need to groom young talents for technological advancement have become necessary for the rapid growth of industry.

These young creative minds, known professionally as Computer Engineers, will occupy the key role as software developers and hardware engineers among other roles in many industries.

2021 intake is open

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Want to know more? Enter your information below to learn more about the ACity BSc Computer Engineering


Top Careers In Computer Engineering

Sudhakar Shinde

The US Bureau of Labor Statistics projects a 5% growth for computer engineering jobs through 2026. This statistic represents significant opportunities for computer engineering students as they prepare for the world of work. What jobs await you in the future? Check out some top options

 Computer Hardware Engineer  Computer Network Architect
 Computer Systems Analyst  Cyber Security Analyst
 Software Developer  Big Data Engineer

Entry Requirements

Minimum C6 in 6 subjects including 3 core subjects (English, Mathematics, Integrated/General Science) and 3 elective subjects. (Physics, Elective Mathematics + Chemistry OR any other elective relevant to the chosen Program)

Minimum D or a pass in 6 subjects including 3 core subjects (English, Mathematics, Integrated/General Science) and 3 elective subjects. (Physics, Elective Mathematics + Chemistry OR any other elective relevant to the chosen Program)

Minimum of 5 credit passes in the IGCSE/O-Levels (Mathematics and English mandatory) and 3 passes in the A-Levels. (Elective/Add/Further Mathematics and Physics mandatory).

Minimum of 5 credit passes in the IGCSE/O-Levels (Mathematics and English mandatory) and a minimum score of 4 points in 3 Higher Level (HL) subjects. (Elective/Add/Further Mathematics and Physics mandatory)

Minimum of 50% overall average pass. (subject to approval NAB) Mathematics, English and Physics mandatory

Minimum GPA of 3.0 (Mathematics, English and Physics mandatory)

What To Know
More Information


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Course Outline

 Communication Skills

 French Language

 Fundamentals of Innovation and Entrepreneurship (FIE) Seminar I

 Introduction to Engineering

 Introduction to Programming with Python

 Physical Sciences

 Pre-Calculus (with MATLAB)

 Technology and Society

 Analytic Geometry and Calculus I (with MATLAB)

 Basic Electronics

 Fundamentals of Innovation and Entrepreneurship (FIE) Seminar II

 Introduction to Multidisciplinary Design

 Logic and Critical Thinking

 Programming in C

 Sensors, Measurements and Instrumentation

 Text and Meaning

 Analytic Geometry and Calculus II (with MATLAB)

 Circuit Theory

 Computer Systems Engineering

 Data Structures and Algorithms

 Fundamentals of Innovation and Entrepreneurship (FIE) I

 Fundamentals of Logic Design

 Introduction to Material Science and Engineering

 Leadership Seminar I

 African Studies

 Applied Linear Algebra (with MATLAB)

 Computer Architecture and Organization

 Digital Systems Design

 Fundamentals of Innovation and Entrepreneurship (FIE) II

 Microelectronics

 Probability, Statistics and Reliability (with MATLAB)

 Computer Networks

 Differential Equations(with MATLAB)

 Discrete Mathematics (with MATLAB)

 Leadership Seminar II

 Microprocessors and Microcontrollers

 Signals and Systems

 Operating Systems

 System Dynamics

 Automatic Control Systems

 Digital Signal Processing

 Embedded Systems

 Industry Internship

 Mechatronics

 Software Engineering

 Project Management, Engineering Economics and Risk Analysis

 Computer Security

 Introduction to Artificial Intelligence

 Project Phase I

 Technical Elective – I

 Technical Elective – II

 Environmental Science and Engineering

 Professional Ethics and Values

 Project Phase II

 Technical Elective – III

 Technical Elective – IV

Electives

 Biomedical Instrumentation

 Biomedical Signal Analysis

 Real-Time Digital Signal Processing

 Wireless Sensor Networks

 Advanced Digital Signal Processing

 High Speed Networks

 Remote Sensing

 Telecommunication Systems

 Modelling and Simulation

  Advanced Control Systems

  Digital Image Processing

  Machine Learning

  Modeling and Analysis of Mechatronic Systems

  Advanced Control Systems

  Industrial Automation and Robotics

  Machine Learning

  Modeling and Analysis of Mechatronic Systems

  Smart Grid

  Solid State Electronic Devices

  Energy Management for a Sustainable Future

  Green Electronics

2021 intake is open

Our Unique Learning Pillars


  • Experiential Learning

    Hands-on learning to prepare students to readily apply concepts, to easily integrate into the workspace.


  • Contextual Learning

    Solving real grass-root problems to expose students to the local context and develop empathy towards the continent’s progress.


  • Unified Learning

    A project-based approach that combines concepts across courses to connect the dots and enable unified learning.


  • Extensional Learning

    Arms students with a viable toolkit to help them confront real-life issues, they may not have encountered during their academic life, squarely.