BACHELOR OF SCIENCE IN APPLIED STATISTICS

BACHELOR OF SCIENCE IN APPLIED STATISTICS

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Last Update January 23, 2024
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About This Course

  1. Title of the Proposed Programme 

The title of the programme shall be Bachelor of Science in Applied Statistics

  1. Philosophy of the Programme  

The philosophy of the programme is to nurture excellence professionalism and integrity through quality scholarly teaching, training and research in Statistics.

  1. Rationale of the Programme 
    1. Situation analysis 

Garissa University College, as a constituent college of Moi University, received the BSc in Applied Statistics with computing from its mother university. As implementation of the program began, the need to improve it was noticed. Some of the issues noted included repetition of courses at different levels of the programme and systematic flow of courses from foundational courses to practical/application courses. This review of the curriculum is intended to improve the curriculum so that it can match the trends of the courses offered globally for similar programmes.

  1. Stakeholders Involvement 

Garissa University encouraged the participation of interest groups relevant to the practice of statistics. A stakeholder workshop was held on 23rd September 2020 to look into the proposed programme. The participants of the workshop included academicians in universities, national and county government officers, industry practitioners such as Kenya National Bureau of Statistics (KNBS) and development agencies (NGOs) that hire data analysts. The stakeholders offered crucial suggestions for improving the programme in terms of its structure and course contents.

  1. Justification of the need for the programme

The BSc in Applied statistics programme is anchored on the premise that our country should have professionally qualified statisticians. This underscores the need for trained personnel who are highly motivated and innovative in responding to emerging issues in this dynamic field of statistics. The BSc in Applied statistics programme therefore designed to fill this gap of human resources in the field of statistician and equip students with relevant knowledge, skills, values and attitudes to meet the country’s human resource needs.

  1. Goal of the Programme 

The goal of the programme is to train professionals in the field of statistics who are well grounded in the fundamentals of Applied Statistics and acquisition of the necessary skills in order to use their knowledge in a wide range of practical applications. This will be achieved by providing courses which cover the basic principles of summarising, presenting and drawing conclusions from data. The programme also provides courses in statistical inference, modelling and the practical applications of the subject in the curriculum. 

A characteristic feature of the programme is that it focusses on the practical applications of statistics in a variety of areas, including business, biological sciences, and economics, and emphasises the use of statistical software in data analysis. 

The semester spent on industrial attachment enables students to gain more experience of practical statistics.

  1. Expected Learning Outcomes of the programme 
  1. Design methods for collecting, analyzing and inter
  2. reting data.
  3. Explain the fundamental principles of the theory and methods of Statistics.
  4. Apply statistical techniques to model relationships between variables and make predictions.
  5. Apply Statistical Methods to design statistical experiments and surveys, as well as to analyze and interpret the resulting data.
  6. Select, and use, appropriate software packages and/or computer programming to solve statistical models.
  7. Employ Statistical Methods necessary in making evidence-based decisions
  8. Use knowledge in statistics to design research systems and use sources of current research to find out new knowledge that is generated.
  1. Mode of Delivery of the Programme  

The programme shall be offered on a full time basis at Garissa University and is conducted during weekdays. The mode of delivery is organized via a combination of lectures, compulsory reading, and computer practical sessions. The mode of delivery shall be face to face teaching and/or virtual learning.  In addition, learners will be required to undertake industrial attachment of at least 8 weeks at the end of the third year of study. 

  1. Academic Regulations for the Proposed Programme 
    1. Admission Requirements for the Proposed Programme

To be admitted into the programme, a candidate must satisfy the minimum university entry requirements for undergraduate programmes. In addition, candidates must satisfy the following minimum admission requirements or an equivalent qualification recognized by senate:

  1. KCSE: A holder of Kenya Certificate of Secondary Education (KCSE) with a minimum aggregate performance of C+. In addition, candidates must have obtained a minimum grade of B- in Mathematics.
  1. A-Level:  A holder of Kenya Advanced Certificate of Education (KACE) with 2 principal passes including Mathematics or equivalent qualification.
  1. Diploma holders: Candidates who had obtained a mean grade C at KCSE and are holders of Diploma in Applied Sciences or Education with Mathematics as a major subject, with at least a credit pass in relevant subjects from an institution recognized by the University Senate.
  1. Bachelor’s Degree: A holder of a Bachelor’s degree with Mathematics background from an institution recognized by the Senate.

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