BACHELOR OF SCIENCE (APPLIED STATISTICS, WITH I.T.)

Course Description

This program integrates applied statistics with information technology to develop expertise in data analysis, statistical modeling, and computational methods. Students learn to collect, process, and interpret complex data using statistical software and programming tools, preparing them for data-driven decision-making in various industries.

Expectations

Students will master statistical techniques, data visualization, and programming (e.g., R, Python, SQL) while gaining hands-on experience with real-world datasets. The program emphasizes problem-solving skills for industries reliant on data insights, ensuring graduates are competitive in tech, finance, research, and beyond. Duration: 4 YEARS, FULL-TIME ONLY

Market Areas

Graduates can work in business analytics, market research, healthcare analytics, government agencies, financial services, quality control, and scientific research. Emerging fields like machine learning, AI, and big data analytics also offer strong career prospects.

Minimum Requirements

A HOLDER OF KENYA CERTIFICATE OF SECONDARY EDUCATION (KCSE) WITH A MINIMUM MEAN OF C+. APPLICANT MUST HAVE OBTAINED A MINIMUM GRADE OF B- (B MINUS) IN MATHEMATICS. OR A HOLDER OF KENYA ADVANCED CERTIFICATE OF EDUCATION (KACE) WITH TWO PRINCIPAL PASSES IN MATHEMATICS/PHYSICS, MATHEMATICS/CHEMISTRY, MATHEMATICS/GEOGRAPHY OR MATHEMATICS/ECONOMICS. OR A HOLDER OF AN ORDINARY DIPLOMA IN COMPUTER STUDIES OR STATISTICS WITH A MINIMUM PASS AT CREDIT LEVEL FROM AN ACCREDITED INSTITUTION AND HAD OBTAINED A MEAN GRADE C AT KCSE. OR A HOLDER OF AN ORDINARY DIPLOMA IN EDUCATION WITH MATHEMATICS AS A MAJOR SUBJECT FROM AN ACCREDITED INSTITUTION OR A HOLDER OF A BACHELOR’S DEGREE FROM AN ACCREDITED INSTITUTION, PREFERABLY WITH A GOOD MATHEMATICS BACKGROUND.

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