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Masters of Science in Data Science and Analytics (MSc DSA)


Every day industry executives in both the private and public sectors bemoan the lack of data scientists. CEOs, CIOs, CFOs and COOs need people who theoretically know how to look at the data that their company generate, and delve into it to derive the all-important insights. The demand for these professionals with big data skills is increasing alongside the increased investment in big data. Companies today realise the value of Data Analytics. As a result, they are looking for skilled people to capture and make sense of it.

Data Science – “Data is the new crude oil, do you have the skills to refine it?”

95% of the world’s data has been created in just the past 2 years. Data is the next natural resource and Big Data is becoming the new differentiating factor of production. Faced with overwhelming amounts of data, organisations are struggling to extract the powerful insights they need to make smarter business decisions. To help uncover the true value of your data, the MSc in Data Science and Analytics is for all professionals looking to harness data in new, innovative ways and make data-driven decisions.

During the course of two years participants will be able take their data analytics skills to the next level as they learn the theory and practice behind recommendation engines, regressions, network and graphical modeling, anomaly detection, hypothesis testing, machine learning, and big data analytics.
The program is a collaboration between Strathmore Institute of Mathematical Sciences (SIMS) @iLabAfrica Research and Innovation Centre.

This programme has been designed for students who have completed a degree in either Statistics, IT, Commerce, Economics or Finance, and technical enthusiasts wishing to further their knowledge of Data Science and Analytics: we define a technical enthusiast as someone who has, in their professional or personal lives, developed software in the area of specification or develops software systems using web technology, python, and java. The programme provides students with a route to high-quality careers in Big Data, Machine Learning, Artificial Intelligence, Data Analytics and Data Science. The programme will supply industry and government entities with a stream of highly trained data experts.

Data science is responsible for discovering insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. The role of Data Science is becoming increasingly important as businesses rely more heavily on big data and Data Analytics to drive decision-making.

If you are interested in being able to:

  • Clean, prepare your data for analysis, apply programming to explore and model data.
  • Apply analytic techniques to solve development problems in Medicine, Engineering, Finance, Economics, Real Estate and Social Sciences. The types of analytics covered include – Descriptive Analytics, Diagnostic Analytics, Predictive Analytics and Prescriptive Analytics.
  • Deploy Machine Learning Algorithms to mine your data.
  • Interpret analytical models to make better business decisions, present your findings and impress the audience.

Consider applying for Strathmore University’s MSc in Data Science and Analytics today!

The course work will cover core areas, such as: Data Mining, Storage and Retrieval, Time Series Analysis and Forecasting, Statistical Inference in Big Data, Applied Machine Learning in Data Science, Text and Unstructured Data Analytics.


The programme offers two specialisations:

  1. Business Analytics – for participants interested in learning how to pull/discover/find insights from business data, and those who want to improve processes and outcomes within a business.
  2. Computational Statistics – for participants interested in improving data science algorithms and analytics and/or want to transition into becoming a Data Science researcher.


Two (2) Academic Years
Classes will be held Monday to Friday from 5:30 – 8:30 pm EAT.

Mode of Delivery

The course will be a hybrid of both face-to-face sessions as well as video-conferencing. We have made the decision to accommodate the learning both from home and/or on-campus. Classes are organised as five (5) taught modules and a dissertation.

Entry Requirements

  1. Holders of First Class or Upper Second Class honours degrees in Statistics, IT, Commerce, Economics or Finance from recognised universities, or
  2. Holders of Lower Second Class degrees plus postgraduate diplomas or certificates, or with at least two years’ relevant experience in the areas above, or
  3. Holders of other related qualifications from recognised universities, considered by the Academic Council as equivalent to the criteria in (1) or (2).

Upon meeting the entry requirements above, the applicant should begin the application process by filling in an online application at www.strathmore.edu/msc-dsa

The applicant should upload the following documents

  1. Certified copies of undergraduate degree certificate and transcript of records (TOR) in English giving full details of subjects studied and grades/marks obtained.
  2. Certified copy of your Kenya Certificate of Secondary Education-KCSE certificate (Secondary/High School Certificate or its equivalent).
  3. An updated Curriculum Vitae. Please use the Europass CV template (http://europass.cedefop.europa.eu).
  4. Digital passport photo.
  5. A copy of National Identity Card (ID) or a copy of Passport (bio-data page).
  6. Interview fee of Ksh 2,500/= (paid through application portal)

NB: Upon acceptance into the programme, the above copies and transcripts should be certified by the awarding institution or by an advocate of the high court.

After submission of the application the candidate will be contacted by the University to take the Graduate Entrance Exam (GEE), which can be done in person or online. The GEE consists of English comprehension and grammar, arithmetic as well as an essay. Once the applicant has completed and passed the written exam they will be scheduled for an oral interview.


The fee is Kshs. 200,000 per module and dissertation.


Email: mscdatascience@strathmore.edu
Call +254 703 034616

Start date

April 2021. Details on the application process will be communicated in due course. If interested, kindly fill in this form and we will get back to you once the course is open for application.


Click here to download the brochure