Ph.D Computer Science

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Program Description Details

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.

 

 

 

1st Year

2nd Year

3rd Year

COURSE CODE

 

COURSE TITLE

1st
Sem.

2nd
Sem.

1st
Sem.

2nd
Sem.

1st
Sem.

2nd
Sem.

 

 

GENERAL COURSES

 

GEDS 901

Personal and Family Wholeness

2

 

 

 

 

 

GEDS 902

Advanced Statistics

 

2

 

 

 

 

GEDS 911

Research Proposal and Writing

2

 

 

 

 

 

GEDS 912

Advanced Research Design

 

2

 

 

 

 

 

 

CORE COURSES

 

COSC 900

Ethical Perspectives in Computer Science

 

 

3

 

 

 

COSC 911

Theory & Formal Models of Computation

3

 

 

 

 

 

COSC 912

Advanced Design & Analysis of Algorithms

 

3

 

 

 

 

COSC 915

Applied Computer Networking

3

 

 

 

 

 

COSC 924

Applied Computer Architecture

 

3

 

 

 

 

COSC 9--

Specialized Elective Courses*

6

3

3

 

 

 

COSC 970

Research Seminar 1 (Doctoral) †

 

 

4

 

 

 

COSC 980

Research Seminar 2 (Doctoral) †

 

 

 

4

 

 

COSC 990

Thesis

 

 

4

4

4

4

 

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.]

COSC 910

Experts Systems and Applied Artificial Intelligence

 

 

(3)

 

 

 

COSC 928

Applied Machine Learning

 

(3)

 

 

 

 

COSC 938

Advanced Robotics

 

(3)

 

 

 

 

COSC 941

Knowledge Representation

(3)

 

 

 

 

 

COSC 945

Reinforcement Learning

(3)

 

 

 

 

 

 

Track II: Biomedical Informatics [Lead: Dr. Onuiri E.E.]

COSC 932

Molecular Imaging

 

(3)

 

 

 

 

COSC 934

Clinical Trial Data Management

 

(3)

 

 

 

 

COSC 935

Drug Discovery Informatics and Drug Design

(3)

 

 

 

 

 

COSC 937

Translational Bioinformatics: Biomarker Discovery and Personalized Healthcare

(3)

 

 

 

 

 

COSC 940

Healthcare Outcomes Management and Research

 

 

(3)

 

 

 

COSC 950

Biostatistics

 

 

(3)

 

 

 

 

Track III: Computer Science [Lead: Prof. Okolie S. O.]

COSC 927

Applied Database Systems

(3)

 

 

 

 

 

COSC 944

Computational Optimization

 

(3)

 

 

 

 

COSC 981

Advanced Information Technology (IT) Project Management

(3)

 

 

 

 

 

 

Track IV: Cybersecurity [Lead: Dr. Ayankoya F.Y.]

COSC 918

Security Architecture and Engineering

 

(3)

 

 

 

 

COSC 919

Identity and Access Management

(3)

 

 

 

 

 

COSC 925

Security Operations

(3)

 

 

 

 

 

COSC 930

Security Assessment and Testing

 

 

(3)

 

 

 

COSC 936

Software Development Security

 

(3)

 

 

 

 

 

Track V: Networking & Telecommunication [Lead: Dr. Ogunlere S.O]

COSC 916

Wireless Sensor Networks

 

(3)

 

 

 

 

COSC 920

Communication and Network Security

 

 

(3)

 

 

 

COSC 923

Digital Signal Processing

(3)

 

 

 

 

 

COSC 926

Network Design

 

(3)

 

 

 

 

COSC 943

Advanced Wireless Communication Systems

(3)

 

 

 

 

 

 

Track VI: Software Engineering [Lead: Prof. Idowu S.A.]

SENG 938

Software Architecture and Component-based Design

 

(3)

 

 

 

 

SENG 941

Software Re-engineering

(3)

 

 

 

 

 

SENG 942

Multi-agent Systems and Software Maintenance

 

(3)

 

 

 

 

SENG 960

Software Development Studio

 

 

(3)

 

 

 

 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

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Admission Requirements

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.