The BSc. in Statistics and Data Science program is designed to produce graduates who are well-acquainted with fundamental concepts and techniques in the field of data science, statistics, mathematics, and computing. The interlinkage between Statistics and Data Sciences has seen a reinforced understanding of data from its origins, now including areas such as data architecture, data warehousing and management, data mining and data engineering.

Why BSc Statistics & Data Science?


Experience the Thriving Demand

Embark on a career that is on high demand, where your skills in data collection, analysis, and interpretation are sought after.



Embrace limitless possibilities with a BSc. Statistics and Data Science. You will unlock a world of exciting opportunities across a spectrum of domains such as finance, healthcare, biology, economics, marketing, and much more.


High Earning Potential

Graduates from the degree in BSc. Statistics and Data Science are equipped with the tools and resources that allow them to achieve their true potential both intellectually and financially.


Elevate Your Mind

Working in the field of Statistics and Data Science can be rewarding and intellectually stimulating. It involves problem-solving and critical thinking and can lead to a sense of accomplishment when a problem is solved.


Impactful Work

Join the ranks of those who shape the future. Statistics and Data science possess the power to create significant impact in society, particularly in areas such as healthcare and public policy. Working in this field gives you an opportunity to make a positive difference in peoples' lives.

Core courses

The program ensures that students have a solid foundation in statistics and mathematics before moving on to more advanced coursework. The core subjects include:


  • Linear Algebra
  • Optimization techniques


  • Probability theory
  • Inference
  • Advanced regression analysis

Ethics, Philosophy, and other humanities


  • Programming (various languages – Python, R, etc
  • SQL
  • Computer Systems

Data Science:

  • Machine learning
  • Data Visualization
  • Data mining
  • Data architecture


  1. Data Analyst/ Scientist/ Engineer – collects, analyses and interprets data to identify patterns, trends, and gain insights to help organizations make informed decisions.
  2. Big data architect – designing and implementing large-scale data architectures and systems that can handle massive amounts of data.
  3. Data mining specialist – responsible for using advanced algorithms and techniques to extract insights and patterns from large datasets.
  4. Statistician – applies statistical methods to solve real-world problems in fields such as healthcare, public policy, and finance.
  5. Researchers & Academics – they advance the knowledge and understanding of data science through research, teaching, industry collaborations and publication.
  6.  Data governance specialist: A data governance specialist is responsible for developing policies and procedures for managing the availability, usability, integrity, and security of data assets in enterprise systems, and ensuring compliance with data regulations. Data governance includes other specific and defined roles such as the Data Admin    , Data Steward and Data Custodian. 
  7. Data privacy and security specialist: A data privacy and security specialist is responsible for ensuring that data is protected from unauthorized access and that data privacy regulations are followed.

Why BSc. Statistics And Data Science At Strathmore University



Strathmore University is one of the most reputable universities in Africa and has a strong track record of producing graduates who are highly skilled and sought after by employers.



Strathmore University has state-of-the-art facilities, including computer labs and data science software, that provide students with hands-on experience working with real-world data.



The program is designed in collaboration with industry partners to ensure that students develop the skills that are in high demand in today’s job market. Graduates will be well-equipped to work in a variety of fields, including finance, healthcare, marketing, and more.


Networking opportunities

Students in the program will have the opportunity to interact with industry experts, participate in internships, and attend industry events and conferences, which can help to build their professional network and enhance their career prospects. Also, students will have the opportunity to connect with a global alumni network and hence connect to a world of opportunities.


Comprehensive curriculum

The Bachelor of Science in Data Science and Statistics at Strathmore University offers a comprehensive curriculum that covers both statistical theory and practical data science skills. Students will learn how to collect, analyze, and interpret data using advanced statistical methods and cutting-edge tools and technologies.


Teaching staff

Our dedicated teaching staff are active professionals who will bring you face-to-face with real situations. You will learn through: Innovative teaching, Individualized attention and guidance, and small class groups.

Entry Requirements

An applicant for admission into the Bachelor of Science in Statistical and Data Sciences degree programme must satisfy one of the following minimum requirements:

  1. Be a holder of KCSE (or equivalent examination) certificate with a minimum mean grade of B and a minimum grade of B+ in Mathematics and B- in English
  2. Be a holder of A-Level (or equivalent qualification) certificate, from an Examining Body recognized by the Academic Council of the University, with a minimum of two principal passes in Mathematics/Physics, Mathematics/Chemistry, Mathematics/Geography, or Mathematics/Economics.
  3. Be a holder of any other qualification (with a strong mathematics base) accepted by the Academic Council of the University as equivalent to any of the above.
  4. An applicant who holds any of the qualifications 1(c) above may, at the discretion of the Academic Council, with recommendations from the Academic Board of SIMS, be exempted from a maximum of 49% of the course units.
  5. An applicant registered in another university recognized by the Academic Council may be allowed to transfer credit to the BSc. in Statistical and Data Sciences programme as per 2.7.2.

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