Bachelor of Science in Mathematics with Information Technology

Programme Code : 1470309

Philosophy (Guiding Principles)

1. The Intersection of Logic and Computing
   The program operates on the principle that mathematical rigor must be paired with computational competence. The philosophy shifts from viewing mathematics as purely abstract to seeing it as a dynamic engine for innovative IT solutions. It recognizes that modern mathematical problems are often solved through algorithms and programming.
2. Intellectual Discipline and Precision
   A central guiding principle is the cultivation of analytical thinking, creativity, and precision. The curriculum is designed to move beyond simple computation, fostering a culture of critical inquiry and intellectual curiosity where students learn to construct rigorous proofs and arguments.
3. Practical Problem-Solving (Pragmatism)
   The “Mathematics with IT” philosophy is inherently applied. It aims to produce graduates who can translate real-life phenomena into mathematical models to solve complex challenges in sectors like finance, engineering, and the digital economy. This aligns with the national goal of evidence-based decision-making for sustainable development.
4. Professionalism and Academic Integrity
   In line with the Commission for University Education (CUE) standards, the program is guided by values of academic freedom, excellence, and integrity. It emphasizes the ethical responsibility of a mathematician to provide accurate and objective analysis that contributes to the National Vision 2030.

Objectives

The Bachelor of Science in Mathematics with Information Technology program is designed to create a unique blend of theoretical mathematical expertise and advanced computational skills. It aims to produce graduates who are not only traditional mathematicians but also versatile IT professionals capable of driving digital innovation.

Key Program Goals
• Solid Mathematical Foundation: To equip students with deep knowledge in various mathematical disciplines, including Pure Mathematics, Applied Mathematics, and Statistics.
• Computational Competence: To develop a student’s capability in analyzing algorithms, software construction, and mathematical computation using modern IT tools.
• Interdisciplinary Readiness: To train students to apply mathematical tools to solve complex real-life problems in physical, economic, and industrial sectors.
• Research & Professional Progression: To prepare graduates for high-level postgraduate studies or careers in scientific, banking, or business areas that require a background in rigorous logic and IT.

Expected Learning Outcomes
By the end of the program, a graduate should be able to:
• Construct Mathematical Models: Abstraction of real-life phenomena into mathematical systems for analysis and prediction.
• Apply Algorithmic Thinking: Use principles of computing and mathematics to identify, define, and implement solutions to complex computational problems.
• Advance Computational Analysis: Perform high-level mathematical analysis using specialized software and current programming languages.
• Demonstrate Logical Precision: Express mathematical arguments and results in a formal, logical, and precise manner suitable for professional or academic audiences.
• Analyze Technological Impact: Understand the legal, professional, and ethical implications of using computing technology within society.
• Work Collaboratively: Effectively communicate computational ideas and work both independently and in teams to meet organizational objectives.

Mode of Delivery: Full-time
Duration: 4 years

Admission Requirements (Minimum Academic and Additional Requirements)

• Mean grade of C+ (plus) for Kenya Certificate of Secondary Education (KCSE) holders or its equivalent as determined by the Kenya National Examination Council (KNEC);
• KNEC diploma or its equivalent

Schedule of Intakes (Admission Periods in Academic Year)

September (Beginning of each academic year)

1. How to Apply: Step-by-Step Instructions (Online vs. Manual)
KAFU offers applicants two main application pathways: the quicker online method and the traditional manual submission method.

A. Online Application (Recommended)
This is the preferred and most direct method for submitting your application.

• Visit the Portal: Go to the official KAFU admissions platform: https://kafu.jiunge.com/
• Sign Up: Create an account on the Jiunge platform by entering your personal details and verifying your email address.
• Programme Application: Log in and navigate to the program application section. Select the course you wish to apply for.
• Pay Application Fee: Pay the required non-refundable application fee through Jiunge App directly through the platform.
• Review & Feedback: The application will be reviewed. Check your email for official feedback and next steps from the KAFU Registry department.

B. Manual Application
Applicants may also choose to download the relevant application form from the KAFU website, fill it out manually, and submit it physically:

• Complete: Fill out the form completely and accurately.
• Attach Documents: Attach certified copies of all necessary academic certificates, national ID/birth certificate, and transcripts.
• Pay Fee: Pay the non-refundable application fee via Jiunge app
• Submit: Submit the completed form, required documents, and bank deposit slip to the Registrar (Academic Affairs) at Kaimosi Friends University.

2. Application Deadlines/Intakes
KAFU typically conducts admissions for its programs based on the main academic year cycle.

Major Intake: The primary intake for new students (including KUCCPS-placed students) is generally in September (e.g., the beginning of the Academic Year).

Career Opportunities

1. Data Science & Analytics (High Demand)
   • Data Scientist / Analyst: Using mathematical algorithms to find patterns in big data. Top employers include Safaricom, Airtel, and tech startups.
   • Machine Learning Engineer: Building predictive models for AI applications.
   • Business Intelligence (BI) Analyst: Translating raw data into business strategies for retail and manufacturing firms.
2. Finance & Risk Management
   • Financial Analyst: Analyzing market trends and investment opportunities for banks like KCB, Equity, or NCBA.
   • Actuarial Assistant: Working in insurance firms (like Britam or Old Mutual) to calculate risk and uncertainty.
   • Quantitative Analyst (Quants): Using advanced math to develop complex financial models for investment banking.
3. Information Technology & Security
   • Cryptographer: Using number theory to create secure encryption for banking and government communications.
   • Software Developer: Specifically in “Back-end” development where complex logic and algorithms are required.
   • Cybersecurity Analyst: Protecting networks by identifying mathematical patterns in security breaches.
4. Research & Strategy
   • Operations Research Analyst: Helping organizations like Kenya Airways or logistics firms optimize their supply chains and scheduling.
   • Economic Modeller: Working with the Central Bank of Kenya (CBK) or KIPPRA to forecast economic trends.
   • Researcher/Statistician: Working with KNBS or KEMRI on large-scale national data projects.
5. Education & Training
   • Lecturer: Lecturing mathematics at universities (requires a masters)
   • Teacher: Teaching Mathematics and ICT at secondary or tertiary levels (requires a PGDE for secondary teaching).

Outstanding Alumni

Dennis Oluchina – PT Lecturer, KAFU

Industrial Attachment Opportunities (Available Internships and School Support)

1. Financial Institutions & Fintech
   • Banks and insurance companies prioritize math-heavy IT students for fraud detection, system security, and financial modelling e.g. Kenya Commercial Bank (KCB) & Equity Bank, NCBA Bank, Safaricom (M-Pesa Africa).
2. Government & Regulatory Bodies
   • Central Bank of Kenya (CBK): Ideal for those interested in Economic Modeling and Financial IT systems.
   • Kenya Revenue Authority (KRA): Focus on the Statistics or ICT departments to help with tax data analysis and systems automation.
   • Communications Authority of Kenya (CA): Perfect for students interested in Cybersecurity and Network Optimization.
   • Kenya National Bureau of Statistics (KNBS): While more stats-heavy, they value IT students for their Data Processing and Database Management skills.
3. Research & Science Hubs
   • KEMRI (Kenya Medical Research Institute): Placements in Biostatistics or Health Informatics.
   • ILRI (International Livestock Research Institute): Offers attachments in Bioinformatics, using math to solve agricultural challenges.
   • KIPPRA: Focuses on Public Policy Research; they need students who can handle mathematical software for economic forecasting.
4. Technology & Software Firms
   • Andela or Microsoft (ADC): Competitive but high-value placements for those focused on Software Development and Algorithm Design.
   • Cybersecurity Firms (e.g., Serianu): Focus on the mathematical side of Encryption and Threat Detection.

Attachment Eligibility and Duration

• Duration: The attachment is a mandatory 8 to 12-week (two to three months) program.
• Eligibility: Students must have completed their core academic coursework to qualify for placement.

Attachment Application Requirements

4. Academic & Administrative Requirements
• Course Completion: Students must have successfully completed all core units leading up to the attachment period.
• Field Relevance: The host organization must provide a work environment specifically focused on Statistics or data analysis.
• Insurance & Paperwork: Students must obtain a formal Introduction Letter from the Department and ensure they are covered by the University’s personal accident insurance.

5. Application Procedures
• Placement Identification: The student/department identifies a potential host station (e.g., KNBS, research firms, or corporate data departments).
• Request for Attachment: Submit the University’s introductory letter to the selected organization.
• Task Approval: Once a position is offered, the student must have their specific work plan vetted and approved by the department lecturer.
• Registration: Formally register the attachment with the Department of Mathematics and Statistics, providing the contact details of the on-site supervisor for future assessment scheduling.

6. Pre-Departure Requirements
• Software Proficiency: Familiarize yourself with current statistical packages (e.g., SPSS, R, STATA, or Python) as these are expected tools in the field.
• Logbook Collection: Obtain the official department logbook to record daily activities and technical skills developed.

Contacts of Support Persons

1. Dr. Samuel Apima – Mobile Number: 0714 295 941, Email: sapima@kafu.ac.ke
2. Dr. Amos Wanjara – Mobile Number: 0729 212 387, Email: awanjara@kafu.ac.ke
3. Dr. John Chibayi – Mobile Number: 0712 498 360, Email: jchibayi@kafu.ac.ke

Finance: Fees and Funding

The tuition fee is Ksh 224,400 per year.

Students can access Higher Education Financing (HEF), which includes HELB loans and Government Scholarships, as well as various bursaries provided by constituencies (NG-CDF), counties, and NGOs.

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