Bachelor of Science in Business Analytics & Information Systems
The Bachelor Of Science In Business Analytics & Information Systems is a degree programme that equips students with knowledge and skills in in business analytics & information systems. The programme falls under the ICT & Technology category and typically spans 4 years of full-time study at accredited Kenyan universities.
The short answer
- What it costs
- Up to Ksh 260,000 a year at a public institution, Ksh 1,040,000 for the whole course. Up to Ksh 500,000 a year at a private one.The detail
- Who can get in
- A KCSE mean grade of C+ or above, plus 4 subject grades. There is another way in without it.The detail
- How long, and when
- Takes 4 years, full-time, with 6 months of attachment. Next intake January 2027, at 5 institutions.The detail
- Where it leads
- 8 careers in the catalogue. The least exposed to AI is Cloud Security Engineer, at 14 out of 100.The detail
The programme
What you study, how long it takes, and how it is delivered.
Overview
The curriculum covers Business Analytics and Data Analysis, Information Systems and Systems Design, Business Intelligence and Data Warehousing, Data Management and Database Systems, Statistical Analysis and Data Science, Business Process Analysis and Process Improvement. Students engage with both theoretical foundations and practical applications, developing competencies in technical and analytical competencies. The coursework is designed to build progressive understanding from foundational concepts to advanced topics.
Throughout the programme, students study Information Systems and Systems Design, Data Visualization and Reporting, Business Process Analysis and Process Improvement, Research Methods and Business Analytics Research, Data Management and Database Systems. 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 Business Intelligence and Data Warehousing, Business Process Analysis and Optimization, Data Visualization and Reporting. 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 Analytics & Information Systems pursue careers as Data Analyst / Data Scientist, Business Analyst / Business Analytics Specialist, Data Visualization Specialist / Reporting Analyst, Information Systems Manager / IT Manager. 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.
What you study
10 subjects- Business Analytics and Data Analysis
- Information Systems and Systems Design
- Business Intelligence and Data Warehousing
- Data Management and Database Systems
- Statistical Analysis and Data Science
- Business Process Analysis and Process Improvement
- Data Visualization and Reporting
- Predictive Analytics and Machine Learning
- Information Systems Management and IT Management
- Research Methods and Business Analytics Research
Modules
10 in the programmeBusiness Analytics and Data Analysis
Year 1Semester 13 creditsCore
Business analytics, data analysis, statistical analysis, and supporting business analytics.
Information Systems and Systems Design
Year 1Semester 23 creditsCore
Information systems, systems design, system development, and supporting information systems.
Business Intelligence and Data Warehousing
Year 1Semester 33 creditsCore
Business intelligence, data warehousing, reporting systems, and supporting business intelligence.
Data Management and Database Systems
Year 2Semester 13 creditsCore
Data management, database systems, data administration, and supporting data management.
Statistical Analysis and Data Science
Year 2Semester 23 creditsCore
Statistical analysis, data science, predictive analytics, and supporting statistical analysis.
Business Process Analysis and Process Improvement
Year 2Semester 33 creditsCore
Business process analysis, process improvement, business optimisation, and supporting business process analysis.
Data Visualization and Reporting
Year 3Semester 13 creditsCore
Data visualization, reporting, dashboard design, and supporting data visualization.
Predictive Analytics and Machine Learning
Year 3Semester 23 creditsCore
Predictive analytics, machine learning, data modelling, and supporting predictive analytics.
Information Systems Management and IT Management
Year 3Semester 33 creditsCore
Information systems management, IT management, systems operations, and supporting information systems management.
Research Methods and Business Analytics Research
Year 4Semester 16 creditsCore
Research methods, business analytics research, data collection, and supporting research methods and project work.
Specialisations
Business Intelligence and Data Warehousing
Focuses on business intelligence, data warehousing, reporting systems, and analytics platforms. This specialisation equips graduates with discipline-specific competencies for professional practice in Kenya and the East African region, with pathways to postgraduate study and professional certification.
Information Systems Management
Concentrates on information systems management, IT management, systems operations, and analytics infrastructure.
Business Process Analysis and Optimization
Focuses on business process analysis, process improvement, business optimisation, and process analytics.
Data Visualization and Reporting
Focuses on data visualization, reporting, dashboard design, and visual analytics. This specialisation equips graduates with discipline-specific competencies for professional practice in Kenya and the East African region, with pathways to postgraduate study and professional certification.
Data Science and Predictive Analytics
Specialises in data science, predictive analytics, machine learning, and data modelling. This specialisation equips graduates with discipline-specific competencies for professional practice in Kenya and the East African region, with pathways to postgraduate study and professional certification.
A day as a student
A typical day starts with morning lectures on business analytics, information systems, or data analysis, followed by analytics laboratories, business projects, or industry visits. Students design analytics systems, develop information solutions, work with data tools, analyse business data, and work on their analytics projects. Industrial attachments at financial institutions, government agencies, and technology companies provide hands-on experience.
The trade-offs
| In its favour | Against it |
|---|---|
| High demand — data-driven decision making, digital transformation, and analytics adoption create strong demand for business analytics and information systems professionals. | Continuous learning — business analytics and information systems faces rapid technology changes, continuous learning requirements, and skills obsolescence. |
| Diverse applications — graduates work in finance, government, healthcare, retail, and various industries. | Technical complexity — business analytics and information systems requires strong technical skills in data analysis, statistical modelling, and systems design. |
| Technology — business analytics and information systems involves cutting-edge technology including machine learning, data visualization, and business intelligence. | Data sensitivity — working with business data involves handling sensitive information, data privacy concerns, and sometimes working with confidential data. |
What it costs
Tuition at both ends of the market, and how to pay for it.
What it costs, and where
Against 191 technology coursesAnnual 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
KU ~244,800/yr, UoN ~260,000/yr. Strathmore ~500,000/yr (samtash), Kabarak 188,700/yr.
Students can access HELB undergraduate loans and KUCCPS placement. County bursaries, TVET sponsorships, and international business scholarships are available.
Funding options
HELB Undergraduate Loan
KUCCPS Placement
County Government Bursaries
Scholarships
3 recordedCounty Government Bursaries
BursaryKsh 50,000Kenyan
Students from specific counties. Varies by county.
Higher Education Fund (HEF)
PlacementKsh 0Kenyan
Kenyan students placed to TVET institutions through KUCCPS receive government-subsidised tuition.
Higher Education Loans Board (HELB) Loan
LoanKsh 60,000Kenyan
Kenyan citizens pursuing undergraduate studies at accredited institutions.
Scholarships you could apply for
8 usable where it is taught- Equity Group Foundation Wings to Fly
Closes 28 February 2027FullEquity Bank
Full secondary + university
- Aga Khan Foundation Scholarship
Closes 31 March 2027FullAga Khan Foundation
Full university study
- Family Bank Foundation Education Support
Closes 30 June 2027PartialFamily Bank
KES 80,000 per year
- HELB Undergraduate Scholarship
Closes 31 July 2027PartialHigher Education Loans Board
KES 40,000 to 60,000 per year
- County Government Scholarships
Varies by countyPartialCounty Governments
KES 50,000 to 200,000 per year
- Mastercard Foundation Scholars Program
Varies by partner universityFullMastercard Foundation
Full university education
- Moringa School Craftbyte Scholarship
QuarterlyFullMoringa School
Full software development course
- USIU-Africa Merit Scholarship
Before admissionPartialUSIU-Africa
50 to 100% tuition
Getting in
The grades, the alternatives, and who accredits the award.
What you need
Diploma in Business Analytics, Information Technology, Computer Science, or related fields from recognised TVET institutions may be considered for upgrading. Relevant business or analytics experience is advantageous.
When it next starts
Taught at 5 institutionsIncluding Murang'a University of Technology, Africa Nazarene University, Maseno University.
Including Murang'a University of Technology, Africa Nazarene University, Maseno University.
Including Murang'a University of Technology, Africa Nazarene University, Maseno University.
How you are assessed
5 componentsContinuous Assessment Tests and Assignments
Cat20% of the mark
Assignments, tests, presentations, case studies, and business analytics projects throughout each semester.
End of Semester Written Examinations
Exam30% of the mark
Written examinations covering business analytics, information systems, data analysis, and business analytics research.
Business Analytics and Information Systems Practical Examinations
Practicum30% of the mark
Assessment of business analytics and information systems competencies including data analysis, information systems, business intelligence, and statistical analysis.
Industry Attachment Assessment
Clinical10% of the mark
Assessment of industry attachments including analytics work, systems work, documentation, and supervision evaluation.
Research Project
Research10% of the mark
Independent business analytics and information systems research project, assessed through written report and presentation.
Accreditation
Commission for University Education (CUE)
Academic accreditationRequired
CUE is the statutory body responsible for the accreditation and quality assurance of university programmes in Kenya.
Technical and Vocational Education and Training Authority
NationalRequired
TVETA accredits TVET institutions and programmes in Kenya.
Accredited by the Technical and Vocational Education and Training Authority (TVETA). Examined by Kenya National Examinations Council (KNEC) or National Industrial Training Authority (NITA). The TVET Act governs TVET institutions. The Data Protection Act governs data handling. The programme is accredited by the Commission for University Education (CUE), the statutory body responsible for quality assurance and regulation of university education in Kenya.
Where it leads
The roles it opens, and what you leave with.
Where graduates go
5 rolesData Analyst / Data Scientist
High demandKsh 65,000 to Ksh 160,000
Analyses data, develops data models, supports data-driven decisions, and works on data analysis at financial institutions, government agencies, or technology companies.
Business Analyst / Business Analytics Specialist
High demandKsh 60,000 to Ksh 150,000
Analyses business data, develops analytics solutions, supports decision making, and works on business analytics at financial institutions, government agencies, or technology companies.
Data Visualization Specialist / Reporting Analyst
High demandKsh 60,000 to Ksh 150,000
Creates data visualizations, dashboards, reports, and supports data visualization at financial institutions, government agencies, or technology companies.
Information Systems Manager / IT Manager
High demandKsh 70,000 to Ksh 170,000
Manages information systems, IT infrastructure, analytics platforms, and supports information systems management at government agencies, financial institutions, or business organisations.
Business Intelligence Specialist / BI Analyst
High demandKsh 65,000 to Ksh 160,000
Develops business intelligence solutions, data warehouses, reporting systems, and supports business intelligence at financial institutions, government agencies, or technology companies.
Graduate outcomes
Graduates work as business analysts and data analysts. Business analytics and information systems is in high demand driven by data-driven decision making. Salaries range from KES 60,000 to 150,000 per month. TVETA, KNEC, financial institutions, and technology companies offer the main opportunities.
Where these fields lead
8 careers- Cloud Security EngineerTechnology14Low exposure
- Industrial Robotics ProgrammerTechnology14Low exposure
- Embedded Firmware EngineerTechnology15Low exposure
- Embedded Linux DeveloperTechnology15Low exposure
- Site Reliability EngineerTechnology15Low exposure
- Applied Cryptography EngineerTechnology16Low exposure
- Database Reliability EngineerTechnology16Low exposure
- Edge Computing EngineerTechnology16Low exposure
Tools you will learn
Figma
DesignPrimary
Adobe Creative Suite
DesignPrimary
Unity
Game engine
Visual Studio Code
Ide
Microsoft Excel
SoftwarePrimary
Spreadsheet for analytical data management, quality control charts and statistical analysis.
Certifications
Industry links
Common misconceptions
Business analytics and information systems is just about creating spreadsheets.
Business analytics and information systems includes data analysis, business intelligence, predictive analytics, information systems design, and data-driven decision making — creating spreadsheets is one component.
Business analytics and information systems is only for technology companies.
Business analytics and information systems applies to financial institutions, government agencies, healthcare, retail, and many other industries beyond technology companies.
There are limited career opportunities for business analytics graduates in Kenya.
Kenya's data-driven decision making, digital transformation, analytics adoption, and business intelligence growth create demand for business analytics and information systems professionals at financial institutions, government agencies, and technology companies.
This programme has limited career opportunities.
Graduates pursue diverse career paths across multiple sectors in Kenya and internationally.