The programmes in the department are based on the philosophy that the rate of technological development of a nation depends to a great extent on the size, quality, motivation and orientation of its science and engineering workforce. It is clear that the computer is playing a major role in technological advancement of any nation in this millennium and this will depend largely on the quality and quantity of electronic and computer scientists.
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1st Year |
2nd Year |
3rd Year |
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COURSE CODE |
COURSE TITLE |
1st |
2nd |
1st |
2nd |
1st |
2nd |
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GENERAL COURSES |
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GEDS 901 |
Personal and Family Wholeness |
2 |
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GEDS 902 |
Advanced Statistics |
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2 |
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GEDS 911 |
Research Proposal and Writing |
2 |
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GEDS 912 |
Advanced Research Design |
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2 |
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CORE COURSES |
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COSC 900 |
Ethical Perspectives in Computer Science |
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3 |
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COSC 911 |
Theory & Formal Models of Computation |
3 |
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COSC 912 |
Advanced Design & Analysis of Algorithms |
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3 |
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COSC 915 |
Applied Computer Networking |
3 |
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COSC 924 |
Applied Computer Architecture |
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3 |
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COSC 9-- |
Specialized Elective Courses* |
6 |
3 |
3 |
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COSC 970 |
Research Seminar 1 (Doctoral) † |
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4 |
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COSC 980 |
Research Seminar 2 (Doctoral) † |
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4 |
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COSC 990 |
Thesis |
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4 |
4 |
4 |
4 |
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TOTAL = 59 Credits |
16 |
13 |
14 |
8 |
4 |
4
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SPECIAL NOTES ON SPECIALIZED ELECTIVE COURSES:
† The Research Seminar topics in the second year are to be taken from the student’s specialization area and should be directed towards the student’s final research (Thesis).
Track I: Artificial Intelligence [Lead: Prof. Awodele O.] |
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COSC 910 |
Experts Systems and Applied Artificial Intelligence |
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(3) |
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COSC 928 |
Applied Machine Learning |
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(3) |
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COSC 938 |
Advanced Robotics |
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(3) |
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COSC 941 |
Knowledge Representation |
(3) |
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COSC 945 |
Reinforcement Learning |
(3) |
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Track II: Biomedical Informatics [Lead: Dr. Onuiri E.E.] |
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COSC 932 |
Molecular Imaging |
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(3) |
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COSC 934 |
Clinical Trial Data Management |
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(3) |
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COSC 935 |
Drug Discovery Informatics and Drug Design |
(3) |
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COSC 937 |
Translational Bioinformatics: Biomarker Discovery and Personalized Healthcare |
(3) |
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COSC 940 |
Healthcare Outcomes Management and Research |
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(3) |
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COSC 950 |
Biostatistics |
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(3) |
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Track III: Computer Science [Lead: Prof. Okolie S. O.] |
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COSC 927 |
Applied Database Systems |
(3) |
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COSC 944 |
Computational Optimization |
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(3) |
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COSC 981 |
Advanced Information Technology (IT) Project Management |
(3) |
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Track IV: Cybersecurity [Lead: Dr. Ayankoya F.Y.] |
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COSC 918 |
Security Architecture and Engineering |
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(3) |
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COSC 919 |
Identity and Access Management |
(3) |
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COSC 925 |
Security Operations |
(3) |
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COSC 930 |
Security Assessment and Testing |
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(3) |
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COSC 936 |
Software Development Security |
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(3) |
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Track V: Networking & Telecommunication [Lead: Dr. Ogunlere S.O] |
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COSC 916 |
Wireless Sensor Networks |
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(3) |
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COSC 920 |
Communication and Network Security |
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(3) |
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COSC 923 |
Digital Signal Processing |
(3) |
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COSC 926 |
Network Design |
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(3) |
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COSC 943 |
Advanced Wireless Communication Systems |
(3) |
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Track VI: Software Engineering [Lead: Prof. Idowu S.A.] |
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SENG 938 |
Software Architecture and Component-based Design |
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(3) |
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SENG 941 |
Software Re-engineering |
(3) |
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SENG 942 |
Multi-agent Systems and Software Maintenance |
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(3) |
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SENG 960 |
Software Development Studio |
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(3) |
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Biblical Worldview to PhD Research
The PhD thesis of students must include a chapter or section devoted to the biblical worldview or moral implication of the topic under investigation.
"Computer science is no more about computers than astronomy is about telescopes."
~ Edsger Dijkstra
Candidates seeking admission into the PhD programme in Computer Science are required to have a master’s degree in Computer Science or Information Technology related subject, and therein they would have obtained at least 4.0 on a 5.0 – point scale or an average of 60% score. Candidates must submit official transcript as evidence of this.
Candidates with a CGPA of 3.50 to 3.99 on a point scale of 5.0 or 55% – 55% in their master’s degree may be admitted under conditional status (provisional) to the PhD programme, provided that they successfully complete a minimum of 16 additional credits in Master’s – level coursework in Computer Science of Babcock University and pass with a minimum of 60% average score or CGPA of 4.0/5.0 prior to the commencing of any coursework in the PhD in Computer Science programme.