Postgraduate Programmes.

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)

Doctor of Philosophy in Business Administration Programme (PH.D.)
Part I – When to Join

Intakes are in January, May and September.

Part II – Requirements

A holder of a Bachelor’s degree in any discipline  with:

  1. Be a holder of Master’s Degree in Business Administration from CUK or its equivalent from a recognized institution/ University; or
  2. Be a holder of a Master’s Degree in a relevant discipline from CUK or its equivalent from a recognized institution/university; or
  3. Completion of KNQF level 9.
Part III – Approximate Fees & Projected Study Schedule
Master of Science in Tourism Management
Part I – When to Join

Intakes are in January, May and September.

Part II – Requirements
A holder of a relevant Bachelor’s degree in the respective Master’s degree with:

 

  • At least a Second Class Honours Upper Division or
  • Second Class Honours Lower Division with required work experience or
  • Pass with post qualification work experience or 
  • Completion of KNQF level 8
Part III – Approximate Fees & Projected Study Schedule

Course Outline and More

Master of Business Administration (MBA)
Part I – When to Join

Intakes 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
Master of Science in Finance
Part I – When to Join

Intakes are in January, May and September.

Part II – Requirements
A holder of a relevant Bachelor’s degree in the respective Master’s degree with:

 

  • At least a Second Class Honours Upper Division or
  • Second Class Honours Lower Division with required work experience or
  • Pass with post qualification work experience or 
  • Completion of KNQF level 8
Part III – Approximate Fees & Projected Study Schedule

Course Outline and More

Master of Science in Accounting
Part I – When to Join

Intakes are in January, May and September.

Part II – Requirements
A holder of a relevant Bachelor’s degree in the respective Master’s degree with:

 

  • At least a Second Class Honours Upper Division or
  • Second Class Honours Lower Division with required work experience or
  • Pass with post qualification work experience or 
  • Completion of KNQF level 8
Part III – Approximate Fees & Projected Study Schedule

Course Outline and More

Master of Science in Entrepreneurship and Innovation
Part I – When to Join

Intakes are in January, May and September.

Part II – Requirements
A holder of a relevant Bachelor’s degree in the respective Master’s degree with:

 

  • At least a Second Class Honours Upper Division or
  • Second Class Honours Lower Division with required work experience or
  • Pass with post qualification work experience or 
  • Completion of KNQF level 8
Part III – Approximate Fees & Projected Study Schedule

Course Outline and More

School of Computing and Mathematics (SCM)

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

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

School of Co-operatives and Community Development (SCCD )

Doctor of Philosophy in Co-operative Business (PH.D.)

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

Master of Science in Marketing, Innovation And Technology
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:

  1. Bachelor’s degree in Economics, Business Administration, Business management
  2. 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

Master of Co-operative Management

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

Master of Community Development

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

Master of Science in Agribusiness Management

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)

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