Business

Bachelor of Science in Business Science in Financial Engineering

The Bachelor Of Science In Business Science In Financial Engineering is a degree programme that equips students with knowledge and skills in in business science in financial engineering. The programme falls under the Engineering & Technology category and typically spans 4 years of full-time study at accredited Kenyan universities.

The curriculum covers Financial Mathematics and Stochastic Processes, Derivatives Pricing and Financial Instruments, Risk Management and Value at Risk, Portfolio Theory and Investment Analysis, Econometrics and Time Series Analysis, Financial Modelling and Python for Finance. Students engage with both theoretical foundations and practical applications, developing competencies in Agricultural Economics, Agricultural Mechanics, Agricultural Structures, Cloud Computing, Crop Management. The coursework is designed to build progressive understanding from foundational concepts to advanced topics.

Throughout the programme, students study Derivatives Pricing and Financial Instruments, Industrial Attachment, Corporate Finance, Economics and Blockchain, Fixed Income Securities and Credit Risk, Financial Mathematics and Stochastic Processes. The teaching approach combines lectures, laboratory practicals, tutorials, assignments and independent research projects. This blend ensures graduates can apply theoretical knowledge to real-world problems in their field.

The programme offers specialisations in Quantitative Trading and Algorithmic Trading, Derivatives and Risk Management, Fintech and Blockchain. Students can focus their studies on areas of particular interest, allowing them to tailor their degree to specific career goals. The flexibility enables graduates to pursue diverse professional paths within the sector.

Graduates of the Bachelor Of Science In Business Science In Financial Engineering pursue careers as Investment Analyst / Portfolio Analyst, Fintech Specialist / Financial Consultant, Algorithmic Trader / Quantitative Researcher, Derivative Analyst / Fixed Income Analyst. They find employment in various sectors including government agencies, private companies, research institutions, non-governmental organisations and academic institutions. The degree opens doors to both local and international opportunities.

The programme is accredited by the Commission for University Education (CUE) and offered at recognised universities across Kenya. Students benefit from industry attachments, fieldwork and practical training that complement classroom learning and enhance employability upon graduation.

Duration: 4 years
Public, up to: Ksh 244,800
Private, up to: Ksh 450,000
Job market: Moderate

The programme

What you study, how long it takes, and how it is delivered.

Practicalities

Study mode: Full-time
Attachment: 3 months
Average class: 30 students
Award: Bachelor

What you study

10 subjects

Financial Mathematics and Stochastic Processes
Derivatives Pricing and Financial Instruments
Risk Management and Value at Risk
Portfolio Theory and Investment Analysis
Econometrics and Time Series Analysis
Financial Modelling and Python for Finance
Algorithmic Trading and Machine Learning for Finance
Fixed Income Securities and Credit Risk
Financial Regulation and Basel Frameworks
Financial Engineering Research Methods

Modules

12 in the programme

Financial Mathematics and Stochastic Processes
Year 1Semester 13 creditsCore
Financial mathematics, calculus, linear algebra, differential equations, probability theory, stochastic processes, understanding mathematics, and supporting quantitative finance.
Derivatives Pricing and Financial Instruments
Year 1Semester 23 creditsCore
Derivatives, futures, options, swaps, forwards, derivative pricing, Black-Scholes model, binomial models, understanding derivatives, and supporting derivative pricing.
Risk Management and Value at Risk
Year 1Semester 33 creditsCore
Risk management, market risk, credit risk, operational risk, VaR, stress testing, understanding risk, and supporting risk management.
Portfolio Theory and Investment Analysis
Year 2Semester 13 creditsCore
Portfolio theory, portfolio optimisation, asset allocation, CAPM, arbitrage pricing theory, investment analysis, and supporting portfolio management.
Econometrics and Time Series Analysis
Year 2Semester 23 creditsCore
Econometrics, time series analysis, statistical modelling, forecasting, understanding econometrics, and supporting quantitative analysis.
Financial Modelling and Python for Finance
Year 2Semester 33 creditsCore
Financial modelling, Excel modelling, Python for finance, R for finance, MATLAB, understanding modelling, and supporting computational finance.
Algorithmic Trading and Machine Learning for Finance
Year 3Semester 13 creditsCore
Algorithmic trading, quantitative trading, machine learning for finance, big data analytics, understanding algorithms, and supporting quantitative trading.
Fixed Income Securities and Credit Risk
Year 3Semester 23 creditsCore
Fixed income securities, bond pricing, yield curves, credit modelling, credit derivatives, understanding fixed income, and supporting fixed income and credit analysis.
Financial Markets, Regulation and Basel Frameworks
Year 3Semester 33 creditsCore
Financial markets, financial regulation, Basel frameworks, CBK regulations, CMA regulations, understanding regulation, and supporting regulatory compliance.
Corporate Finance, Economics and Blockchain
Year 4Semester 13 creditsCore
Corporate finance, microeconomics, macroeconomics, monetary economics, international finance, blockchain, fintech, understanding finance, and supporting finance and fintech knowledge.
Industrial Attachment
Year 4Semester 23 creditsCore
Supervised industrial attachment at a bank, investment firm, insurance company, or fintech company, applying financial engineering skills.
Final Financial Engineering Research Project or Dissertation
Year 4Semester 36 creditsCore
Final year financial engineering research project or dissertation, assessed through written report and oral defence.

Specialisations

Fintech and Blockchain
Focuses on fintech, blockchain, digital finance, mobile money, and supporting financial technology innovation.
Portfolio Management and Investment Analysis
Concentrates on portfolio theory, portfolio optimisation, investment analysis, and supporting portfolio management.
Fixed Income and Credit Risk
Concentrates on fixed income securities, bond pricing, credit modelling, credit derivatives, and supporting fixed income and credit analysis.
Quantitative Trading and Algorithmic Trading
Specialises in algorithmic trading, quantitative trading, machine learning for finance, and supporting quantitative trading.
Derivatives and Risk Management
Focuses on derivative pricing, risk management, VaR, stress testing, and supporting derivative and risk engineering.

A day as a student

A typical day starts with a morning lecture on financial mathematics, derivatives, or risk management, followed by computer laboratory work, financial modelling exercises, or programming projects. Students work on financial models, derivative pricing, risk calculations, portfolio optimisation, Python programmes, R analyses, algorithmic trading strategies, machine learning models, and financial research. Computer laboratory work for modelling and programming, financial modelling exercises in Excel and Python, and industrial attachment at a bank, investment firm, or fintech company provide practical experience.

The trade offs

In its favour

Excellent salary potential — financial engineering professionals are among the highest-paid in the financial sector.
Future-focused — fintech, algorithmic trading, and machine learning for finance are growing fields with strong prospects.
Versatile career — graduates work in banking, capital markets, insurance, fintech, consulting, and research.

Against it

Demanding programme — requires strong mathematics, statistics, programming, and finance knowledge with heavy coursework.
Niche field — fewer direct job openings compared to general finance or accounting degrees.
Certification costs — CFA and FRM certifications require significant investment in training and exam fees.

What it costs

Tuition at both ends of the market, and how to pay for it.

What it costs, and where

Against 331 business courses

Public216k to 245k

216k at University of Nairobi245k at Kenyatta University

Private189k to 450k

189k at Kabarak University450k at Strathmore University

Annual tuition in Kenyan shillings, rounded. The upright tick is the median for this field, so a bar sitting entirely to its right is an expensive programme by the standards of its own subject.

The fine print

UoN 216,000/yr (Schedule II), KU 244,800/yr. Strathmore ~450,000/yr, Kabarak 188,700/yr.

Students can access HELB undergraduate loans, Universities Fund government scholarships, and county government bursaries. Some banks, financial institutions, and fintech companies offer scholarships and sponsorships for financial engineering students.

Funding options

HELB Undergraduate Loan
Universities Fund Government Scholarship
County Government Bursaries

Scholarships

5 recorded

Institution of Engineers of Kenya (IEK) Student Scholarships
ScholarshipKenyan
Student members of IEK pursuing accredited engineering programmes
KCDF More Girls for Engineering Opportunities
ScholarshipKenyan
Young women from disadvantaged backgrounds pursuing engineering
Mastercard Foundation Scholars Program
SponsorshipKsh 500,000
Academically talented but economically disadvantaged African students at partner universities.
County Government Bursaries
GrantKsh 50,000Kenyan
Students from specific counties. Criteria vary by county.
Higher Education Fund (HEF)
GrantKsh 200,000Kenyan
Government-sponsored (KUCCPS) students in public universities. Awarded through the Higher Education Funding Model.

Getting in

The grades, the alternatives, and who accredits the award.

What you need

KCSE mean grade: C+ (plus) mean grade at KCSE
Alternative entry: Diploma holders in Banking, Finance, Accounting, Statistics, or related fields from recognised institutions may join. Strong mathematics background is essential.

Mathematics
B (plain)
English or Kiswahili
C+ (plus)
Any other subject
C (plain)
Any other subject
C (plain)

How you are assessed

5 components

Final Financial Engineering Research Project or Dissertation
Research5% of the mark
Final year financial engineering research project or dissertation, assessed through written report and oral defence.
Industrial Attachment Report
Practicum5% of the mark
Assessment of industrial attachment at a bank, investment firm, or fintech company. Includes logbook, supervisor evaluation, and written report.
End of Semester Examinations
Exam40% of the mark
Comprehensive written examinations covering financial mathematics, derivatives, risk management, econometrics, and portfolio theory.
Continuous Assessment Tests
Cat30% of the mark
Regular tests, assignments, problem sets, and modelling exercises throughout the semester.
Project / Practical Assessment
Practicum20% of the mark
Assessment of financial models, derivative pricing, risk calculations, portfolio optimisation, Python programmes, and trading strategies.

Accreditation

The programme is accredited by the Commission for University Education (CUE). CFA and FRM certifications enhance professional credentials. CBK, CMA, and IRA regulations govern financial practice in Kenya.

Accredited by

Commission for University Education
NationalRequired
CUE accredits all university programmes in Kenya. CFA and FRM certifications enhance professional credentials. CBK, CMA, and IRA regulations govern financial practice.

Where it leads

The roles it opens, and what you leave with.

Where graduates go

6 roles

Investment Analyst / Portfolio Analyst
Medium demandKsh 60,000 to Ksh 250,000
Analyses investments, optimises portfolios, manages asset allocation, and supports investment decision making.
Fintech Specialist / Financial Consultant
Medium demandKsh 65,000 to Ksh 280,000
Develops fintech solutions, advises on financial technology, supports digital finance, and supports fintech innovation.
Algorithmic Trader / Quantitative Researcher
Low demandKsh 80,000 to Ksh 350,000
Develops trading algorithms, backtests strategies, conducts quantitative research, and supports algorithmic trading.
Derivative Analyst / Fixed Income Analyst
Low demandKsh 65,000 to Ksh 250,000
Analyses derivatives, prices fixed income securities, models credit risk, and supporting derivative and fixed income analysis.
Risk Analyst / Risk Manager
High demandKsh 65,000 to Ksh 280,000
Analyses risk, calculates VaR, conducts stress testing, manages risk frameworks, and supports risk management.
Financial Engineer / Quantitative Analyst
Medium demandKsh 70,000 to Ksh 300,000
Develops financial models, prices derivatives, manages quantitative analysis, and supports trading and risk management.

Graduate outcomes

Graduates work as financial engineers, quantitative analysts, and risk analysts. Financial engineering is in medium to high demand driven by fintech growth and capital markets development. Starting salaries range from KES 70,000 to 120,000 per month, with experienced professionals earning KES 150,000 to 400,000. Banks, investment firms, insurance companies, the NSE, CBK, CMA, fintech companies, and consulting firms offer the main opportunities.

Where these fields lead

8 careers

Tools you will learn

AutoCAD
Design
MATLAB
Code
Microsoft Excel
Spreadsheet
Python
Code
SolidWorks
Design
Microsoft Project
Project management

Certifications

Industry links

Common misconceptions

Financial engineering is just about accounting or finance.
This programme combines advanced mathematics, statistics, programming, and finance. It's a quantitative discipline focused on derivative pricing, risk management, and computational finance.
Financial engineering graduates only work in banks.
Graduates work in banks, investment firms, insurance companies, pension funds, the NSE, CBK, CMA, fintech companies, and consulting firms. Many work in algorithmic trading and data science.
Financial engineering is too theoretical for Kenya.
Kenya's fintech sector is growing rapidly, capital markets are developing, and risk management is increasingly important. Financial engineering skills are in demand across the financial sector.
This programme has limited career opportunities.
Graduates pursue diverse career paths across multiple sectors in Kenya and internationally.