Bachelor of Data Science

Programme Code: ST01 | Level of study: Undergraduate
4 Years
online
KES 105,000 per year
School of Science & Technology
open

Overview

The Bachelor's program in Data Science represents a rigorous educational journey, thoughtfully designed to mold graduates into adept professionals equipped with essential technical and professional competencies essential for tackling the multifaceted challenges within the realm of data science. Participants will gain comprehensive knowledge and proficiency in substantial data analytics, data mining, computational intelligence, machine learning, statistical learning, scalable algorithms, and the optimization of expansive databases. 

Entry requirements

A candidate must satisfy the general University admission criteria for undergraduate programmes.

  • A mean grade of C+ and above at KCSE  OR
  • Diplomas or professional qualifications  OR
  • A certificate of foundation or bridging courses from recognised institutions  OR
  • A portfolio for the purpose of recognition of prior learning  OR
  • Kenya Advanced Certificate of Education with a minimum of 1 principal  OR
  • A bachelor’s degree from an institution recognised by Senate.

Recognition of Prior Learning

The Open University of Kenya recognizes the value of learning acquired outside formal education settings. Recognition of Prior Learning (RPL) provides an opportunity for learners to receive credit for relevant knowledge, skills, and competencies gained through work experience, professional training, informal learning, or previous academic studies.

Applicants may apply for RPL by submitting a detailed portfolio and supporting documentation, which will be assessed against the learning outcomes of the course or program. Successful applicants may be granted exemptions or credits, thereby accelerating their academic journey.

This process ensures inclusivity, flexibility, and acknowledgment of lifelong learning, aligning with our commitment to open and accessible education for all.

Credit & Entry pathways into this course

Programme Structure

Definitions of Terms

  • Credit hours: A credit hour is equivalent to a minimum of 13 Instructional hours;
  • Lecture/Instructional hours: means a period of time equivalent to one hour and representing one such continuous hour in lecture form, two in a tutorial or open learning session, three in a laboratory practical or practicum and five in farm or similar practice;
  • Contact hours: Is the duration designated for a lecture session; Course units: Course Content covered in one credit hour.

Assessment

Course Units

Fees & scholarships

Fees ...

Careers

Graduates of this program can explore diverse and promising career trajectories, including but not limited to:

  • Data Scientist
  • Data Analyst
  • Machine Learning Scientist
  • Machine Learning Engineer
  • Business Intelligence Scientist
  • Market Research Analyst

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