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Doctor of Philosophy in Information Systems
Part I – When to Join

Intakes are in January, May and September.
Part II – Requirements
The PhD in IS curriculum is designed with technology agility in mind due to the 4th industrial revolution. The curriculum is therefore designed to cultivate an agile mindset in students to enable them to be innovative and creative so as to be able to respond to change in the uncertain and turbulent technological environment that characterizes modern information systems. The courses are designed to foster critical thinking and problem-solving strategies so as to facilitate the acquisition of life-long learning skills that can enable them to identify uncertainties and figure out how to adapt as they go. The curriculum emphasises the application of teaching methods that will equip students with the appropriate research skills, inquisitiveness, and creativity to solve many of the social and technological problems that are faced every day. Justification of the need for the programme As information systems permeate every facet of life, enterprises endeavour to reengineer their business processes to align themselves with the digitization reality in the wake of the 4th industrial revolution (4IR). This phenomenon results in an ever-increasing digital skill gap that calls for continuous retraining of the workforce. This gap can be addressed through formal training by institutions of higher learning or through on-job training using workshops and short courses. It is therefore paramount that institutions of higher learning endeavour to provide curriculums that address the emerging demand for digital skills across all sectors. The dynamic nature of technology calls for a creative and innovative workforce hence the need for a curriculum at the PhD level aimed at training trainers and upscaling information system research skills in the workforce. Overall Goal of the Programme  The aim of the PhD in Information Systems for Digital Transformation curriculum is to produce graduates with the knowledge and skills to conduct information systems research and take on appropriate information system management positions. The curriculum encourages the student to acquire the important skills of self-directed learning, problem-solving and effective communication through technical writing. The graduate is expected to be proficient in a variety of settings, which shall include teaching, and undertaking research activities. Management of information systems and advanced data analytics for business intelligence. Mode of Delivery of the Programme  The mode of delivery of the program will be Blended learning including face-to-face and online learning modes Admission Requirements for the Programme  Candidates wishing to study for a Doctor of Philosophy in Information Systems degree must satisfy any of the following minimum requirements:
  • Be a holder of a Master’s Degree in a computing field from CUK or its equivalent from a recognized institution/university.
OR
  • Completion of KNQF level 9.
The medium of instruction will be the English language.
Part III – Approximate Fees & Projected Study Schedule, Unit Distribution
Course Outline and More
Master of Science in Data Science
Part I – When to Join

Intakes are in January, May and September.
Part II – Requirements
Rationale of the Programme The Msc.Data Science curriculum draws upon social sciences, computer science, mathematical sciences, statistics, management, and law. Students use the latest tools and analytical methods to work with data at scale, derive insights from complex and unstructured data, and solve real-world problems. The programme is anchored on relevant learning theories and principles and seeks to produce, through relevant theories and hands-on training, competent data scientists to effectively support various sectors such as communications, manufacturing, banking and finance, education, transportation, entertainment, medicine, agriculture, and law with special focus on their Cooperative sub-sectors. Drawing on insights from the social sciences, computer science, statistics, management, and law, this multidisciplinary curriculum prepares students to use the latest tools and analytical methods  to interpret and communicate their findings.
Requirements
Must be a holder of a Bachelor’s degree in Computer Science/Information Technology/Mathematical Sciences (with adequate computing units) or a related discipline with at least;
  1. Upper second class honors degree or cumulative Grade Point Average ( GPA) of 3.0 on a scale of 4.00; or
  2. Lower Second Class Honors or cumulative GPA of 2.50 on a scale of 4.00 with additional relevant training, evidence of research capacity through research, presentations or peer-reviewed publications and relevant working experience of two years,
Part III – Approximate Fees & Projected Study Schedule
Course Outline and More
Master of Science in Cyber Security

Rationale of the Programme

Kenya has a long term strategic development plan under Vision 2030 which recognizes 

the role of Science, Technology and Innovation in economic development. Knowledge in

Science, Technology and Innovation is a key enabler for implementation of the strategies

and flagship projects towards fulfilling vision 2030. The MSc. Cyber Security is key

enabler of the digital economy because it addresses the growing concern of secure cyber

space for digital transformation of businesses and Organizations.

Admission Requirements

Candidates wishing to study MSc. Cyber Security programme must be a holder of;

Bachelor’s degree in Computer Science/Information Technology/Mathematical Sciences (or equivalent to level 7 of KNQA) (with adequate computing units) or a related discipline with at least;

  •  Upper second class honors degree or cumulative Grade Point Average (GPA) of 3.0 on a scale of 4.00 OR 
  •  Lower Second Class Honors or cumulative GPA of 2.50 on a scale of 4.00 with additional relevant training, evidence of research capacity through research, presentations or peer reviewed publications and relevant working experience of two years OR

Post Graduate Diploma or qualification equivalent to level 8 of KNQA with adequate computing units

 

Table 2. 1 Units distribution 

S/NCOURSE CODECOURSE TITLELECTUREHOURSCREDIT HOURS
               YEAR 1    SEMESTER 1     
1MSCS 1101MATHEMATICAL FOUNDATIONS OF CRYPTOGRAPHY423
2MSCS 1102CRYPTOGRAPHY I423
3.MSCS 1103VULNERABILITY ASSESSMENT AND MALWARE REVERSE ENGINEERING423
4.MSCS 1104CYBERSECURITY POLICY AND GOVERNANCE423
5MSCS 1105RESEARCH METHODS FOR CYBERSECURITY423
                                                YEAR 1    SEMESTER 1I     
8MSCS 1206NETWORK SECURITY423
MSCS 1207DIGITAL FORENSICS
10MSCS 1208INFORMATION STORAGE AND PRIVACY423
11MSCS 1209TRUSTED COMPUTING INFRASTRUCTURE AND CLOUD SECURITY423
12MSCS 1210CRYPTOGRAPHY II
                                            YEAR 1I   SEMESTER 1    
13MSCS 2211RESEARCH SEMINAR423
14MSCS 2212THESIS423
                                        YEAR 1I   SEMESTER 1I    
15MSCS 2211RESEARCH SEMINAR423
16MSCS 2212THESIS1683
Master of Science in Statistical Computing

Rationale of the Programme

The need for the programme was verified by carrying out a survey from consumers and

potential consumers who interact with current graduates. The sampled respondents

indicated that there is a clear need for Statistical Computing experts, for research,

consultancy and other sectors of the economy. The suggestions which were considered

when compiling the final document included; Data mining, data warehousing, data

modeling Link between theory and practical scenarios, Analysis of data both qualitative

and quantitative, Predictive Data Analysis and Big Data Analytics.

 

Admission Requirements

Candidates wishing to study MSc. Statistical Computing programme must be a holder of;

Bachelor’s degree in Statistics, Applied Statistics or in Mathematical Sciences (with adequate Statistics units) with at least;

(a) Upper second class honors or cumulative Grade Point Average ( GPA) of 3.0 on a scale of 4.00

OR

(b) Lower Second Class Honors or cumulative GPA of 2.50 on a scale of 4.00 with additional relevant training, evidence of research capacity through research, presentations or peer reviewed publications and relevant working experience of two years

 OR

 

  1. Post Graduate Diploma or qualification equivalent to level 8 of KNQA with adequate computing units

Table 2. 1 Units distribution 

S/N

COURSE CODE

COURSE TITLE

LECTURE

HOURS

CREDIT HOURS

 

             

  YEAR 1    SEMESTER 1     

  

1

MSTA 1104 

STATISTICAL THEORY

42

3

2

MSTA 1105 

STATISTICAL METHODS I

42

3

3.

MSTA 1110 

PROBABILITY THEORY

42

3

4.

MSTA 1111 

MULTIVARIATE ANALYSIS

42

3

5

MCCD 1105 

COOPERATIVE PHILOSOPHY

42

3

                                                YEAR 1    SEMESTER 1I     

8

MSTA 1207 

STATISTICAL PROGRAMMING

42

3

 

MCSC 1205 

MACHINE LEARNING

  

10

MSTA 1203 

RESEARCH METHODS

42

3

11

MSTA 1212 

STATISTICAL METHODS II

42

3

12

MSTA 1215 

FINANCIAL TIME SERIES ANALYSIS

  

                                            YEAR 1I   SEMESTER 1    

15

MSTA 2103 

STATISTICAL METHODS III

42

3

16

MSTA 2116 

EXPERIMENTAL DESIGNS AND ANALYSIS

42

3

17

MSTA 2114 

ECONOMETRICS

42

3

18

MSTA 2217

STATISTICAL CONSULTING AND SEMI-

NAR

42

3

  

ELECTIVES(Pick 1)

42

3

19

MCSC 2106 

BIG DATA ANALYTICS

42

 

20

MSTA 2118 

SURVIVAL ANALYSIS

42

 

21

MSTA 2119

DEMOGRAPHY AND VITAL STATISTICS

42

 
  

OR

  
 

MSTA 2217

STATISTICAL CONSULTING AND SEMI-

NAR

42

 
 

MSTA 2221

THESIS (4 units)

168

 

                                        YEAR 1I   SEMESTER 1I    

 

MSTA 2217

STATISTICAL CONSULTING AND SEMI-

NAR

42

3

 

MSTA 2220

STATISTICAL PROJECT (4 units)

168

3

  

OR

  
 

MSTA 2217

STATISTICAL CONSULTING AND SEMI-

NAR

42

 
 

MSTA 2221 

THESIS (4 units)

168

Bachelor of Science in Actuarial Science
Part I – When to Join

Intakes are in January, May and September.

Part II – Requirements

Rationale of the Programme

Kenya has a long term strategic development plan under Vision 2030 which recognizes the role of Applied Sciences in economic development. Knowledge in Actuarial science is a key enabler for implementation of the strategies and flagship projects towards fulfilling vision 2030. Bachelor of Science in Actuarial Science comes to provide financial solution providers and data analysts who will do the job with the appropriate actuarial foundation. The market is still in need of practical actuarial scientists who can combine statistical programming and ICT skills in solving financial problems.

The programme is intended to provide students with a wide range of knowledge and skills required by industry at undergraduate level in addition to preparing them for professional training in the area of actuarial sciences.

Programme Specific Admission Requirements

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 

  1. KNEC Diploma in Mathematical Sciences or its equivalent from an Accredited and Recognized Institution, 

OR 

  1. CUK Diploma in Mathematical Sciences or its equivalent from an Accredited and Recognized Institution (Equivalent to KNEC Diploma), 

OR 

  1. The Kenya Certificate of Education (KCE), East African Certificate of Education (EACE) “Ordinary Level” Division II or their equivalents, plus a CUK/KNEC Diploma or their equivalents from an Accredited and Recognized Institution, OR 
  2. The Kenya Certificate of Education (KCE), East African Certificate of Education (EACE) Ordinary Level Division III or their equivalents, plus CUK/KNEC Certificate and CUK/KNEC Diploma or their equivalents from an Accredited and Recognized Institution, 

OR 

  1. The Kenya Advanced Certificate of Education (KACE) “Advanced Level” with two Principal passes and a subsidiary. 
Part III – Approximate Fees & Projected Study Schedule

Course Outline and More

Bachelor of Science in Statistics and Information Technology
Part I – When to Join

Intakes are in January, May and September.
Part II – Requirements
Rationale of the Programme This degree course focuses on the art of practical application of Statistical programming and data analysis to real life problems. The course not only teaches state-of-the-art software design and programming technologies, but also lets you practice your skills in programme management, teamwork and working with people. This programme seeks to produce a dual-discipline graduate who can fit in both statistics and ICT related industries for enhanced human interaction and development. Kenya has a long term strategic development plan under Vision 2030 which recognizes the role of Applied Sciences in economic development. Knowledge in Statistics and data Science is a key enabler for implementation of the strategies and flagship projects towards fulfilling the vision 2030. Bachelor of Science in Statistics and Information Technology comes to provide practical data analysts who will do the job with the appropriate statistical foundation and supply the market with the much needed practical statisticians who can also perform statistical programming. Bachelor of Science in Statistics and Information Technology is a much sought programme by consumers who are looking for practical statistical analysts who can analyze data using various programs. The market is still in need of statisticians with adequate skills to develop digital-age statistical analysis skills. Appropriate response to this report is development of programmes such as this that positions the graduates to take up the predicted jobs. The learner will gain not only knowledge and practical experience of the latest statistical skills, but also a grounding in the underlying principles of analytical skills for current and future market predictions. Programme Specific Admission Requirements 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 Be a holder of KACE certificate with a minimum of two principal passes and a minimum of a credit  pass in Mathematics at KCE, OR Be a holder of a KNEC Diploma or its Equivalent in Information Technology/Business Information Technology/ Information Systems with a credit pass.
Part III – Approximate Fees & Projected Study Schedule
Course Outline and More
Bachelor of Business and Information Technology
Part I – When to Join

Intakes are in January, May and September.
Part II – Requirements
Rationale of the Programme Bachelor of Business Information Technology (BBIT) merges Computing skills with business knowledge hence provides capability to analyze, design and build sophisticated business information systems and use state-of-the-art methodologies, tools, hardware and software to meet the growing needs of today’s business world by  delivering continuously emerging trends of information technology as is required from time to time by the industry. The programme ensures an understanding of business organization and relevant computer applications through the course modules of computer science, software engineering, databases, networking, business related units, theory and programming. The program also enhances students’ communication, research, cognitive, managerial and interpersonal skills. BBIT is a course that brings together two key aspects of computer training, that is, the link between Computer Science and the business environment. It is structured with a core which provides an extensive education in contemporary themes in Information Systems (IS) education, and which equips students with the requisite business knowledge and skills for analytical and technical areas.
  • Programme Specific Admission Requirements
Candidates wishing to study for BBIT must satisfy any 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 Be a holder of KACE certificate with a minimum of two principal passes and a minimum of a credit pass in Mathematics at KCE, OR Be a holder of a KNEC Diploma or its Equivalent in Information Technology/Business Information Technology/ Information Systems with a credit pass.
Part III – Approximate Fees & Projected Study Schedule
Course Outline and More
Bachelor of Science in Information Technology
Part I – When to Join

Intakes are in January, May and September.
Part II – Requirements
Rationale of the Programme Kenya has a long term strategic development plan under Vision 2030 which recognizes the role of Science, Technology and Innovation in economic development. Knowledge in Science, Technology and Innovation is a key enabler for implementation of the strategies and flagship projects towards fulfilling vision 2030. This programme is critical as an enabler to the achievement of the Big 4 agenda of the current regime namely; enhancement of manufacturing industry, provision of universal health-care, provision of affordable housing, and food security. With the ever-changing needs of the global economy and demands in science. For any technology to succeed, trained personnel are needed to sustain it through academic rigor, partnership with the industrial world and research institutions. The Information Technology programme is designed to respond to the dynamic demands of the world and especially the ever expanding co-operative sector.This will ensure that Cooperative movement is able to adopt to changing technologies ,knowledge and gain positive social interaction in a global world. Technology programme is designed to respond to the dynamic demands of the world and especially the ever expanding co-operative sector. Programme Specific Admission Requirements 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 Computer Science/Information Technology /Business Information Technology or its equivalent from an Accredited and Recognized Institution, OR CUK Diploma in Computer Science/Information Technology /Business Information Technology or its equivalent from an Accredited and Recognized Institution, OR The Kenya Certificate of Education (KCE), East African Certificate of Education (EACE) “Ordinary Level” Division II or their equivalents, plus a CUK/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 CUK/KNEC Certificate and CUK/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.
Part III – Approximate Fees & Projected Study Schedule
Course Outline and More
Bachelor of Science in Computer Science
Part I – When to Join

Intakes are in January, May and September.
Part II – Requirements
Rationale of the Programme Kenya, like other developing economies, is faced with ever increasing technological challenges due to the dynamic nature of computing. This situation calls for human resources that possess the necessary skills and attitudes to keep up with this ever changing landscape. This programme seeks to produce experts capable of providing solutions in cooperative, financial, education, manufacturing, agro-processing and the service sector. The programme is anchored on Kenya’s Vision 2030 which recognizes the role of Science, Technology and Innovation in economic development. Knowledge in Science, Technology and Innovation is a key enabler for implementation of the strategies and flagship projects towards fulfilling vision 2030. This is also reflected in the Africa Union (AU) 2063 Goals under Aspiration One which aims to attain a Prosperous Africa, based on Inclusive Growth and Sustainable Development where Science Technology & Innovation are priorities as enablers for driving Manufacturing / Industrialization and Value Addition Programme Specific Admission Requirements 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
  1. KNEC Diploma in Computer Science/Information Technology /Business Information Technology or its equivalent from an Accredited and Recognized Institution,
OR
  1. CUK Diploma in Computer Science/Information Technology /Business Information Technology or its equivalent from an Accredited and Recognized Institution,
OR
  1. The Kenya Certificate of Education (KCE), East African Certificate of Education (EACE) “Ordinary Level” Division II or their equivalents, plus a CUK/KNEC Diploma or their equivalents from an Accredited and Recognized Institution,
OR
  1. The Kenya Certificate of Education (KCE), East African Certificate of Education (EACE) Ordinary Level Division III or their equivalents, plus CUK/KNEC Certificate and CUK/KNEC Diploma or their equivalents from an Accredited and Recognized Institution,
OR
  1. The Kenya Advanced Certificate of Education (KACE) “Advanced Level” with two Principal passes and a subsidiary.
Part III – Approximate Fees & Projected Study Schedule
Course Outline and More
Bachelor of Science in Data Science
Part I – When to Join

Intakes are in January, May and September.
Part II – Requirements
Rationale of the Programme The Bachelor of Science in Data Science is founded on providing high quality and relevant academic and industry skills, required in both the co-operative and general business sector, by linking education to industry and societal needs through imparting analytical skills necessary to generate information from the huge amounts of data generated by the co-operative sector and other industry players. To meet this emerging industry need, this programme seeks to produce graduates that are professional, possessing statistical and analytical skills capable of addressing the needs of the co-operative and business sector in line with the university mission of being a leading trainer and mission of contributing to national development through quality and market driven training that produces leaders in diverse fields of the economy. The programme is intended to provide students with a wide range of technical and technological skills required by industry. The learner will gain not only knowledge, skills and correct attitudes in Data Science but also statistical as well as the latest computing technologies that support underlying principles of Data Science . Programme Specific Admission Requirements Candidates wishing to study BSc. Data Science programme must satisfy at least one of the following minimum requirements for admission:
  1. 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
  1. KNEC Diploma in Data Science /Information Technology /Business Information Technology or its equivalent from an Accredited and Recognized Institution,
OR
  1. CUK Diploma in Data Science /Information Technology /Business Information Technology /Applied Statistics (Equivalent to KNEC Diploma).
OR
  1. The Kenya Certificate of Education (KCE), East African Certificate of Education (EACE) “Ordinary Level” Division II or their equivalents, plus a CUK /KNEC Diploma or their equivalents from an Accredited and Recognized Institution,
OR
  1. The Kenya Certificate of Education (KCE), East African Certificate of Education (EACE) Ordinary Level Division III or their equivalents, plus CUK/KNEC Certificate and CUK/KNEC Diploma or their equivalents from an Accredited and Recognized Institution,
OR
  1. The Kenya Advanced Certificate of Education (KACE)” Advanced Level” with two Principal passes and a subsidiary.
Part III – Approximate Fees & Projected Study Schedule
Course Outline and More
Bachelor of Science in Software Engineering
Part I – When to Join

Intakes are in January, May and September.
Part II – Requirements
Rationale of the Programme Software plays a central and underpinning role in almost all aspects of daily life: communications, government, manufacturing, banking and finance, education, transportation, entertainment, medicine, agriculture, and law. Due to the current and future over-reliance on software, there is a need for competent and ethical software engineers with grounding on principles, tools, methods and techniques of software Engineering. BSc.Software Engineering programme is anchored on the philosophy of producing Software Engineering practitioners able to address the immediate and future concrete concerns of affordability, dependability, privacy and security of software, and especially in the cooperatives and allied sectors. Kenya has a long term strategic development plan under Vision 2030 which recognizes the role of Science, Technology and Innovation in economic development. Knowledge in Science, Technology and Innovation is a key enabler for implementation of the strategies and flagship projects towards fulfilling vision 2030. The BSc. Software Engineering is a key enabler of the digital economy because most technologies will be software reliant. Programme Specific Admission Requirements Be a holder of KCSE (or equivalent examination) certificate with a minimum aggregate of C+ and a minimum of C+ in Mathematics, Physics and English or Kiswahili, OR KNEC Diploma in Software Engineering /Information Technology /Business Information Technology or its equivalent from an Accredited and Recognized Institution, OR CUK Diploma in Software Engineering /Information Technology /Business 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 CUK/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 CUK/KNEC Certificate and CUK/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.
Part III – Approximate Fees & Projected Study Schedule
Course Outline and More
Bachelor of Science in Applied Statistics
Part I – When to Join

Intakes are in January, May and September.
Part II – Requirements
Rationale of the Programme The programme is intended to provide students with a wide range of technical and technological skills required by industry. The learner will gain not only knowledge, skills and correct attitudes in Applied Statistics but also the latest computing technologies and underlying principles of Applied Statistics . The programme will also equip students with a good understanding of the principles of Applied Statistics with Computing, aspects of which will be at the leading edge of knowledge with the necessary skills for team work in an industrial and scientific research environment. Sound Application, a modern statistical tool in the research process, is becoming more critical today than ever in order to respond to the needs of the data-driven economies. Emergence of big data being generated by ever expanding online transactions call for generation of new knowledge, attitudes and skills that are aligned. The BSc. Applied Statistics programme responds to the current and future demands for such knowledge, attitudes and skills. The programme is anchored on relevant learning theories and principles aimed at producing competent applied statisticians who will effectively support various sectors such as communications, manufacturing, banking and finance, education, transportation, entertainment, medicine, agriculture, and law with special focus on their Cooperative sub-sectors. Programme Specific Admission Requirements Candidates wishing to study BSc. Applied Statistics programme must satisfy at least one of the following minimum requirements for admission:
  1. 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
  1. KNEC Diploma in Applied Statistics /Information Technology /Business Information Technology or its equivalent from an Accredited and Recognized Institution,
OR
  1. CUK Diploma in Applied Statistics /Information Technology /Business Information Technology (Equivalent to KNEC Diploma),
OR
  1. The Kenya Certificate of Education (KCE), East African Certificate of Education (EACE) “Ordinary Level” Division II or their equivalents, plus a CUK/KNEC Diploma or their equivalents from an Accredited and Recognized Institution, OR
  2. The Kenya Certificate of Education (KCE), East African Certificate of Education (EACE) Ordinary Level Division III or their equivalents, plus CUK/KNEC Certificate and CUK/KNEC Diploma or their equivalents from an Accredited and Recognized Institution,
OR
  1. The Kenya Advanced Certificate of Education (KACE) “Advanced Level” with two Principal passes and a subsidiary.
Part III – Approximate Fees & Projected Study Schedule
Course Outline and More
Bachelor of Science in Applied Statistics and Economics
Part I – When to Join

Intakes are in January, May and September.
Part II – Requirements

Rationale of the Programme

Bachelor of Science in Applied Statistics and Economics comes to provide practical data analysts who will do the job with the appropriate statistical and economics foundation and supply the market with the much needed practical statisticians who can also perform economic modeling. Bachelor of Science in Applied Statistics and Economics is a much sought programme by consumers who are looking for practical statistical analysts with strong economics background who can analyze data and deduce some economic implications.The market is still in need of statisticians with economics knowledge to provide technical support in policy analysis and research. Programme Specific Admission Requirements Candidates wishing to study BSc. Applied Statistics and Economics programme must satisfy at least one of the following minimum requirements for admission:
  1. Be a holder of KCSE (or equivalent examination) certificate with a minimum
aggregate of B (or its equivalent) and a minimum of B+ in both Mathematics/ Physics/ Physical Sciences and English , OR
  1. KNEC Diploma in Applied Statistics and Economics /Statistics /Business Administration or its equivalent from an Accredited and Recognized Institution,
OR
  1. Be a holder of a relevant credit pass diploma that is recognized by the University senate as per the Commission for University Education standards. .
OR
  1. The Kenya Certificate of Education (KCE), East African Certificate of Education (EACE) “Ordinary Level” Division II or their equivalents, plus a CUK/KNEC Diploma or their equivalents from an Accredited and Recognized Institution,
OR
  1. The Kenya Certificate of Education (KCE), East African Certificate of Education (EACE) Ordinary Level Division III or their equivalents, plus CUK/KNEC Certificate and CUK/KNEC Diploma or their equivalents from an Accredited and Recognized Institution,
OR
  1. The Kenya Advanced Certificate of Education (KACE) “Advanced Level” with two Principal passes and a subsidiary.
Part III – Approximate Fees & Projected Study Schedule
Course Outline and More
Bachelor of Science in Applied Statistics and Data Science
Part I – When to Join

Intakes are in January, May and September.
Part II – Requirements
Rationale The Bachelor of Science in Applied Statistics and Data Science is founded on providing high quality and relevant academic and industry skills, required in both the co-operative and general business sector, by linking education to industry and societal needs through imparting analytical skills necessary to generate information from the huge amounts of data generated by the co-operative sector and other industry players. The Bachelor of Science in Applied Statistics and Data Science is instrumental in bridging this skills gap by producing graduates who are capable of making a great impact in the job market, both local and international as well as preparing them for a career in research in data science, towards supporting Kenya’s Vision 2030 economic pillar as well as Sustainable Development Goal (SDG) 8 (eight) of a sustainable economic growth. Programme Specific Admission Requirements Candidates wishing to study BSc. Applied Statistics and Data Science programme must satisfy at least one of the following minimum requirements for admission:
  1. 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
  1. KNEC Diploma in Applied Statistics and Data Science /Information Technology /Business Information Technology or its equivalent from an Accredited and Recognized Institution,
OR
  1. CUK Diploma in Applied Statistics and Data Science /Information Technology /Business Information Technology /Applied Statistics (Equivalent to KNEC Diploma).
OR
  1. The Kenya Certificate of Education (KCE), East African Certificate of Education (EACE) “Ordinary Level” Division II or their equivalents, plus a CUK/KNEC Diploma or their equivalents from an Accredited and Recognized Institution,
OR
  1. The Kenya Certificate of Education (KCE), East African Certificate of Education (EACE) Ordinary Level  Division III or their equivalents, plus CUK/KNEC Certificate and CUK/KNEC Diploma or their equivalents from an Accredited and Recognized Institution,
OR
  1. The Kenya Advanced Certificate of Education (KACE)” Advanced Level” with two Principal passes and a subsidiary.
Part III – Approximate Fees & Projected Study Schedule
Course Outline and More
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