PHILOSOPHY
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.
OBJECTIVES
· Further development of the inquisitiveness of students through training and research in an atmosphere of intellectual independence and individual creativity combined with strong sense of group participation.
· Advancement of scientific knowledge in the area of computer science.
· The programme, apart from the traditional goal of training manpower for national development, is also targeted at training Adventist Faculty. This is expected to reduce the dependence of the institution on Non-Adventists highly skilled faculty for her undergraduate programmes and to facilitate the speedy realization of her educational goals.
· To effectively prepare a generation of men and women for the challenges in the contemporary global competition driven largely by Information Technology
· To equip graduates of the programme with necessary theoretical and practical knowledge and skills needed for hardware and software research and development.
ADMISSION REQUIREMENT TO THE PROGRAMME
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.
POLICIES GOVERNING ADMISSION TO A PHD PROGRAMME
a. Regular admission to a PhD programme may be granted when the applicant presents a Master’s degree in Computer Science, Information Technology related course from a recognised university and all other admission requirements including a Bachelor’s
b. Degree in Computer Science or Information Technology related course with at least a second class lower division with a CGPA of 3.0/5.0, at least five credits including English and Mathematics at GCE ordinary level, and a student’s demonstration of intellectual capacity and maturity etc.
c. Provisional admission to a PhD programme may be granted when the applicant brings a master’s degree from a recognized university with a CGPA of 3.5 to 3.99. The candidate must however complete a minimum of 16 credits at MSc level course-work in Computer Science of Babcock University and pass with a minimum of 60% average score or 4.0/5.0 CGPA before commencing any course-work in the Ph.D Computer Science Program.
Note
A student who has started the PhD programme in another university may transfer earned credits to a Babcock University PhD programme in Computer Science in strict compliance with the CPGS policies on transfer of credits. The Department reserves the right upon approval of the CPGS to offer or deny admission to prospective applicants based on existing faculty and staff needs, budgetary considerations, strategic needs/plans, etc.
Curriculum for the PhD Programme
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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 |
SPECIAL NOTES ON SPECIALIZED ELECTIVE COURSES:
- * Each student is required to take a maximum of four (4) elective courses in all, broken down as follows:
- two (2) elective courses in the first semester of Year 1,
- one (1) elective course in the second semester of Year 1, and
- one (1) elective course in the first semester of Year 2.
- * Each student must take a minimum of two (2) elective courses from the track that aligns with his/her specialization. The other two (2) elective courses are to be picked from any other two specialization tracks that complement the scope of the student’s thesis, as well as for crossbreeding purposes. Consult with Program Coordinator and HoD.
- The track from which a student selects the most elective course credits MUST be the specialization specified on his/her admission letter. It is required that the thesis of the student should be written in line with the chosen area of specialization.
† 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).
SPECIALIZATION TRACKS/ELECTIVE COURSES
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.