Postgraduate Programmes.
The Co-operative University of Kenya(CUK) is a chartered public University established by the Government of Kenya under the Universities Act 2012. CUK is located in Karen approximately 20 KM from Nairobi city centre, in a very conducive environment for learning. Our registered offices are located in Karen, Ushirika Road P.O Box 24814-00502 Karen, Nairobi Kenya. The modes of study are Full Time (Main Campus Karen), and eLearning mode under the Institute of Open Distance, and eLearning (IODeL). The University has three (3) intakes in a year; January, May and September.
School of Business and Economics (SBE)
Part I – When to JoinIntakes are in January, May and September. | |
Part II – RequirementsA holder of a Bachelor’s degree in any discipline with:
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Part III – Approximate Fees & Projected Study Schedule |
Part I – When to JoinIntakes are in January, May and September. | ||
Part II – Requirements
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Part III – Approximate Fees & Projected Study ScheduleCourse Outline and More | ||
Part I – When to JoinIntakes are in January, May and September. | |
Part II – Requirements• A holder of a Bachelor’s degree in any discipline with: – At least Upper Second Class Honours or – Lower Second Class Honours and proven evidence of research or three (3) years relevant work experience or – Pass with five (5) years work experience post qualification experience. or – Pass with Postgraduate Diploma | |
Part III – Approximate Fees & Projected Study Schedule |
Part I – When to JoinIntakes are in January, May and September. | ||
Part II – Requirements
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Part III – Approximate Fees & Projected Study ScheduleCourse Outline and More | ||
Part I – When to JoinIntakes are in January, May and September. | ||
Part II – Requirements
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Part III – Approximate Fees & Projected Study ScheduleCourse Outline and More | ||
Part I – When to JoinIntakes are in January, May and September. | ||
Part II – Requirements
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Part III – Approximate Fees & Projected Study ScheduleCourse Outline and More | ||
School of Computing and Mathematics (SCM)
Part I – When to JoinIntakes are in January, May and September. | |
Part II – RequirementsThe 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:
OR
The medium of instruction will be the English language. | |
Part III – Approximate Fees & Projected Study Schedule, Unit Distribution |
Part I – When to JoinIntakes are in January, May and September. | |
Part II – RequirementsRationale 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. RequirementsMust 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;
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Part III – Approximate Fees & Projected Study Schedule |
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/N | COURSE CODE | COURSE TITLE | LECTUREHOURS | CREDIT HOURS |
| YEAR 1 SEMESTER 1 | ||||
| 1 | MSCS 1101 | MATHEMATICAL FOUNDATIONS OF CRYPTOGRAPHY | 42 | 3 |
| 2 | MSCS 1102 | CRYPTOGRAPHY I | 42 | 3 |
| 3. | MSCS 1103 | VULNERABILITY ASSESSMENT AND MALWARE REVERSE ENGINEERING | 42 | 3 |
| 4. | MSCS 1104 | CYBERSECURITY POLICY AND GOVERNANCE | 42 | 3 |
| 5 | MSCS 1105 | RESEARCH METHODS FOR CYBERSECURITY | 42 | 3 |
| YEAR 1 SEMESTER 1I | ||||
| 8 | MSCS 1206 | NETWORK SECURITY | 42 | 3 |
| MSCS 1207 | DIGITAL FORENSICS | |||
| 10 | MSCS 1208 | INFORMATION STORAGE AND PRIVACY | 42 | 3 |
| 11 | MSCS 1209 | TRUSTED COMPUTING INFRASTRUCTURE AND CLOUD SECURITY | 42 | 3 |
| 12 | MSCS 1210 | CRYPTOGRAPHY II | ||
| YEAR 1I SEMESTER 1 | ||||
| 13 | MSCS 2211 | RESEARCH SEMINAR | 42 | 3 |
| 14 | MSCS 2212 | THESIS | 42 | 3 |
| YEAR 1I SEMESTER 1I | ||||
| 15 | MSCS 2211 | RESEARCH SEMINAR | 42 | 3 |
| 16 | MSCS 2212 | THESIS | 168 | 3 |
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
- 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 | ||
School of Co-operatives and Community Development (SCCD )
Entry Requirement – A Master Degree in Co-operative Management or Related Discipline. The program targets Master Students in Business and Business related Fields.
Number of credit hours covered: 1232 Hours
Duration of the program: 3 years fulltime
Mode of delivery: Face to face; Blended
Employment opportunities: Government Ministries, NGOS, Research institutions, Institutions of Higher Learning, Cooperative Sector, Financial Sector, Policy Sector, Consultancy Firms and Relief and Aid Organizations
Fees charged: reasonable charges: (Check University website for fee structure)
Contact information: admissions@cuk.ac.ke or enquiries@cuk.ac.ke Tel:0797 308676
Goal of the Programme
The MSc Marketing, innovation and Technology programme departs from the generic marketing courses that assumes marketing practices are fixed features of market reality. Instead, it shows how innovation and technology can proactively shape and create new markets and marketing landscapes. The MSc Marketing Innovation and Technology seeks to equip students with the knowledge and skills to plan and implement new marketing thinking and activities that contribute to the success of the commercialization of new innovations and technologies.
Admission Requirements for the Proposed Programme
In addition to the general admission requirements for masters programmes the Master of Science in Marketing, Innovation and Technology admits students with the following qualifications:
- Bachelor’s degree in Economics, Business Administration, Business management
- Bachelor’s degree in any filed plus a professional qualification and practice in marketing
- Bachelors in Technology, computing and information, communication and Technology.
Bachelors in innovation and Entrepreneurship
Entry Requirement- A Bachelor Degree in Co-operative Business or related Discipline. This is a two year Degree Course targeting Bachelor in Co-operative Students or any Student in Business and Co-operative related Disciplines with second class hours upper division or second lower with one years working experience of Pass with two years working experience . Graduates from these program may be employed in the Co-operative Movement Sector, Financial institutions, NGOS,
Number of credit hours covered: 680 Hours
Duration of the program: 2 years fulltime
Mode of delivery: Face to face; Blended and E-learning
Employment opportunities: Government Ministries, NGOS, Research institutions, Academia, Consultancy Firms, Cooperative Sector, Financial Institutions
Fees charged: reasonable charges: (Check University website for fee structure of SSP and KUCCPS placement students)
Contact information: admissions@cuk.ac.ke or enquiries@cuk.ac.ke Tel:0797 308676
Entry requirements: Be a holder of Bachelor’s degree in Community Development or any other relevant field with at least upper second class honours degree or Lower Second Class honours with one year working experience or pass with two years working experience ;
Number of credit hours covered: 680 Hours
Duration of the program: 2 years fulltime
Mode of delivery: Face to face; Blended and E-learning
Employment opportunities: Government Ministries, NGOS, Research institutions, Academia, Consultancy Firms and Relief and Aid Organizations
Fees charged: reasonable charges: (Check University website for fee structure of SSP and KUCCPS placement students)
Contact information: admissions@cuk.ac.ke or enquiries@cuk.ac.ke Tel:0797 308676
Entry requirements: Bachelor’s degree with second class upper division in Agribusiness, Agricultural Economics, Business Administration, Business management, Innovation and Entrepreneurship or any other relevant equivalent qualification recognized by the university senate; Bachelor’s degree with second class lower division in Agribusiness, Agricultural Economics, Business Administration, Business management, Innovation and Entrepreneurship or any other relevant equivalent qualification recognized by the university senate with one year working experience; Bachelor’s degree with pass in Agribusiness, Agricultural Economics, Business Administration, Business management, Innovation and Entrepreneurship or any other relevant equivalent qualification recognized by the university senate and two years working experience;;
Number of credit hours covered: 680 Hours
Duration of the program: 2 years fulltime
Mode of delivery: Face to face; Blended and E-learning
Employment opportunities: Government Ministries, NGOS, Research institutions, Academia, Consultancy Firms and Relief and Aid Organizations
Fees charged: reasonable charges: (Check University website for fee structure of SSP and KUCCPS placement students)
Contact information: admissions@cuk.ac.ke or enquiries@cuk.ac.ke Tel:0797 308676
University Bank Accounts
All payments to the institution are payable to the Co-operative Bank of Kenya and Equity Bank Kenya
Co-operative Bank –Account No.01129062663600 (Karen Branch). The University does not accept cash payments
Equity Bank of Kenya-Account Number 1250277107862(Karen Supreme branch)