This programme is designed to cultivate a responsible approach to data usage while fostering a data-driven decision-making mindset in students. By equipping students with cutting-edge skills in data analytics, the programme encourages them to develop a culture of integrity, responsibility, and ethical use of data in their professional lives.

Goal of the Programme
The goal of the B.Sc. in Data Science and Analytics is to impart practical knowledge and skills across key areas of data science and analytics, enabling students to use data for strategic decision-making. The curriculum covers a broad range of topics, including database management systems, scientific computing, statistical modeling, artificial intelligence, machine learning, business intelligence, data mining, warehousing, and data security. This comprehensive approach ensures that graduates develop strong analytical and creative problem-solving abilities, along with the communication skills needed to convey complex data insights effectively.

Programme Learning Outcomes
Upon successful completion of the programme, graduates will be able to:

1. Demonstrate a solid understanding of global issues relevant to data analytics.
2. Appreciate diversity in the field of data science, recognizing the various professionals, customers, and producers involved.
3. Apply ethical, moral, and social values when enhancing and disseminating knowledge in data science to society.
4. Develop strong mathematical skills essential for the field of data science.
5. Strengthen critical thinking and problem-solving abilities in applied statistics.
6. Gain practical experience in computing and statistical programming.
7. Perform advanced data analysis and create comprehensive academic and professional reports.
8. Enhance project-management, critical-thinking, and decision-making skills for successful data-driven solutions.

Admission Requirements

Candidates wishing to study BSc. Data Science and Analytics programme must satisfy at least one of the following minimum requirements for admission:

Be a holder of KCSE (or equivalent examination) certificate with a minimum aggregate of C+ and a minimum of C+ in both Mathematics and English or Kiswahili,

OR

KNEC Diploma in Data Science ,Computer science /Information Technology /Business Information Technology or its equivalent from an Accredited and Recognized Institution,

OR

Kabarak Diploma in Computer Science /Information Technology (Equivalent to KNEC Diploma).

OR

The Kenya Certificate of Education (KCE), East African Certificate of Education (EACE) "Ordinary Level" Division II or their equivalents, plus a KABU/KNEC Diploma or their equivalents from an Accredited and Recognized Institution,

OR

The Kenya Certificate of Education (KCE), East African Certificate of Education (EACE) Ordinary Level Division III or their equivalents, plus KABU/KNEC Certificate and KABU/KNEC Diploma or their equivalents from an Accredited and Recognized Institution,

OR

The Kenya Advanced Certificate of Education (KACE)" Advanced Level" with two Principal passes and a subsidiary.