Department of Computer Science & Mathematics

The Department of Computer Science and Mathematics is in the College of Basic and Applied Sciences (CBAS) at Mountain Top University, MFM Prayer City, Ogun State, Nigeria. It has about thirty in-house and adjunct staff working together on research, teaching and academic supports.

The department has over 300 undergraduate students and post graduate students. The Department is well equipped with world class laboratories, such as: hardware laboratory, cyber- security laboratory, digital simulation laboratory and a mathematical laboratory.

It is the duty of all staff of the department to ensure that students are empowered to succeed in order to become self-reliant, competent and employable, and highly motivated to identify and produce sound and innovative mathematical models and technological solutions required for solving various human problems.

The computer science programme is planned to provide individuals with the opportunity of obtaining broad knowledge and skills in both theoretical and practical aspects. Students are taught and trained on how to write programs or problem solving, software and application development, thus, leading to production of highly innovative and creative graduates that are competent enough the stand on their own in the labour market.

Career opportunities include: Software Systems Developer, Database Administrator, Network Systems Administrator, Business Intelligence Analyst, Multimedia Programmer, System Analyst, IT Consultant, Web Developers, Games Developer, Computer Programmer, Data Scientist, Cyber Security Experts Teaching/Lecturing, etc.

The mathematics programme opens doors for a promising career path by training and producing graduates who are adequately equipped with mathematical skills of analytical thinking, critical reasoning and problem solving. The broad and robust programmme is aimed at introducing the students to various areas of Mathematics and applications. We aim to produce top-rated mathematicians who will make impact in research, teaching, the society, and industry at large.

Career opportunities include: Operation Researcher, Research Scientists, Banker, Financial Services, Cryptographer, Accountant, Teacher/Lecturer, Epidemiologist, Mathematical Economist, Statistician.

Undergraduate degree programmes

• Computer Science/Software Engineering/ Cyber Security
• 1. UTME Entry – Candidate must possess at least credit level passes in five (5) subjects including English Language, Mathematics, Physics, Chemistry, and any of Biology, Agricultural Science, Economics, or Geography in SSCE or its equivalent at not more than two (2) sittings.
  2. UTME subjects – Use of English, Mathematics, Physics, and Chemistry
  3. Direct Entry – Candidates seeking admission into the 200 level must have at least five (5) O’ Level credits with a minimum of two (2) passes in relevant subjects at the Advanced Level of any approved equivalents.

• Mathematics

1. UTME Entry – Candidate must possess at least credit level passes in five (5) subjects including English Language, Mathematics, Further Mathematics, Physics, and any of Chemistry, Biology, Economics, or Geography in SSCE or its equivalent at not more than two (2) sittings.
2. UTME subjects – Use of English, Mathematics, Physics, and any Chemistry, Economics, or Geography
3. Direct Entry – Candidates seeking admission into 200 level must have at least five (5) O’ Level credits with a minimum of two (2) Advanced level passes in Mathematics and at least one of Physics, Chemistry, Biology, Economics, or Geography. Equivalently, candidates should possess a good NCE certificate in Mathematics and any one of the Sciences written as teaching subjects. NCE candidates are expected to pass at distinction or upper credit level. OND candidates with at least distinction of upper credit are qualified for admission. Candidates with JUPEB certificates are also eligible.

 Postgraduate degree programmes

• Postgraduate Diploma (PGD) Computer Science/Mathematics

1. 1. Admission is open to candidates having a Bachelor’s degree or its equivalent with at a third class degree in Computer Science, Mathematics, Statistics, Physics or Engineering of Mountain Top University or any other approved University,
   2. Candidates having at least a Second Class Lower Division in the Bachelor’s degree or its equivalent in Chemistry, Biology, Economics, Business Administration or any Science related subject of Mountain Top or any other approved University.  Candidates may be required to satisfy the Department in a selection process.

• Master of Science (M.Sc) Computer Science/Mathematics

1. 1.  Admission is open to candidates with a good first degree in Computer Science (B.Sc Computer Science)/Mathematics with a minimum of Second Class Lower Division from Mountain Top University, or any other university recognized by the senate of Mountain Top University.
   2. Candidates with third-class degrees will be deemed eligible if such candidates have obtained a PGD in Computer Science from a recognized university.
   3. Candidates with at least a lower credit in Higher National Diploma (HND) and University PGD with a minimum CGPA of 3.50 may be considered for admission.
   4. In addition to the above qualification requirements, candidates shall be required to participate in a postgraduate screening exercise to qualify for admission.  

• M.Phil Computer Science/Mathematics

1. Admission is open to applicants who possess a Master of Science Degree (M.Sc.) in Computer Science/Mathematics or its equivalent with a minimum CGPA of 3.5 from Mountain Top University or any other recognized university.
2. In addition to the above qualification requirements, candidates shall be required to participate in a postgraduate screening exercise to qualify for admission.
3. A candidate that has demonstrated satisfactory academic promise may be considered for a change of registration status from M.Phil to Ph.D. after the successful completion of two semesters in the M.Phil. programme and has presented at least three seminars (including a proposal defense), in demonstration of that competence, subject to approval by the Faculty/Board of Postgraduate Studies and Senate. Such a candidate must have obtained a minimum CGPA of 4.0 after the two semesters of coursework.

•  Ph.D. Computer Science/Mathematics Admission Criteria

1. A candidate with an Academic Master’s degree (M.Sc) in Computer Science/Mathematics, with a cumulative Grade Point Average (CGPA) of not less than 4.0 on 5 point scale or a weighted average of 60% from a recognized University shall be eligible for admission into the Ph.D. Computer Science Programme.
2. In addition to the above qualification requirements, candidates shall be required to participate in a postgraduate screening exercise to qualify for admission.

Computer Sciences and Mathematics are two inseparable disciplines. In our present world, what these two disciplines bring to the “table” towards the development of human life cannot be over emphasized. It is an obvious fact that the present world is technology driven and computer technology is in the forefront of development in all areas of human life. Due to the applicability of technology in all facets of human life, computer science is one of the fastest growing and leading areas of research and development all over the world. On the other hand, Mathematics being the nucleus of all sciences and a universal language has helped the world project into the future. Every real-life problem is being modelled into mathematical problems and then solved using mathematical techniques and tools.

The concept of mathematics is not just solving difficult problems in mathematics, mathematics as a discipline empowers one with the thinking ability, computational power to understand his/her immediate abstract environment, formulate some scientific hypothesis and then provide a solution. Research in the department cuts across different areas in Pure and Applied Mathematics and Computer Sciences.

These include:

i. Biomathematics

ii. Artificial Intelligence

iii. Machine Learning

iv. Data Science

v. Software Engineering

vi. Cybersecurity

vii. Management Information Systems

viii. Geographical Information Systems

ix. Health Informatics

x. Database Design and Modeling

xi. Numerical Analysis

xii. Differential Equations

xiii. Optimization

xiv. Functional

Analysis

xv. Biostatistics