{"id":191,"date":"2023-04-17T03:40:25","date_gmt":"2023-04-17T03:40:25","guid":{"rendered":"https:\/\/cuk.ac.ke\/scm\/?page_id=191"},"modified":"2025-06-03T10:09:05","modified_gmt":"2025-06-03T10:09:05","slug":"programmes","status":"publish","type":"page","link":"https:\/\/www.cuk.ac.ke\/scm\/programmes\/","title":{"rendered":"programmes"},"content":{"rendered":"\t\t
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Programmes<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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1. CHOOSE A COURSE<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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<\/i>Doctor of Philosophy in Information Systems<\/span><\/i><\/span><\/i><\/span><\/div>
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Part I \u2013 When to Join<\/h5>\n

Intakes are in January, May and September.<\/p>\n<\/td>\n<\/tr>\n

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Part II \u2013 Requirements<\/h5>\nThe 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\u00a0agile mindset in students to enable them to be innovative and creative so as to be able to\u00a0respond 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.\n\nJustification of the need for the programme<\/strong>\n\nAs 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.\n\nOverall Goal of the Programme\u00a0<\/b>\n\nThe 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.\n\nMode of Delivery of the Programme<\/strong>\u00a0<\/b>\n\nThe mode of delivery of the program will be Blended learning including face-to-face and online learning modes\n\nAdmission Requirements for the Programme\u00a0<\/strong>\n\nCandidates wishing to study for a Doctor of Philosophy in Information Systems degree must satisfy any of the following minimum requirements:\n
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  • Be a holder of a Master\u2019s Degree in a computing field from CUK or its equivalent from a recognized institution\/university.<\/li>\n<\/ul>\nOR\n
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    • Completion of KNQF level 9.<\/li>\n<\/ul>\nThe medium of instruction will be the English language.<\/td>\n<\/tr>\n
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Part III \u2013 Approximate Fees & Projected Study Schedule, Unit Distribution<\/h5>\nCourse Outline and More<\/a>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/div>\n\t\t\t\t\t<\/div>
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<\/i>Master of Science in Data Science<\/span><\/i><\/span><\/i><\/span><\/div>
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Part I \u2013 When to Join<\/h5>\n

Intakes are in January, May and September.<\/p>\n<\/td>\n<\/tr>\n

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Part II \u2013 Requirements<\/h5>\nRationale of the Programme<\/b>\n\nThe Msc.Data Science curriculum draws upon social sciences, computer science, mathematical sciences, statistics, management, and law. Students use the latest tools and\n\nanalytical 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.\n\nDrawing 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\u00a0 to interpret and communicate their findings.\n
Requirements<\/h5>\nMust be a holder of a Bachelor\u2019s degree in Computer Science\/Information Technology\/Mathematical Sciences (with adequate computing units) or a related discipline with at least;\n
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  1. Upper second class honors degree or cumulative Grade Point Average ( GPA) of 3.0 on a scale of 4.00; or<\/li>\n \t
  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,<\/li>\n<\/ol>\n

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Part III \u2013 Approximate Fees & Projected Study Schedule<\/h5>\nCourse Outline and More<\/a>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/div>\n\t\t\t\t\t<\/div>
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<\/i>Master of Science in Cyber Security<\/span><\/i><\/span><\/i><\/span><\/div>

Rationale of the Programme<\/strong><\/p>

Kenya has a long term strategic development plan under Vision 2030 which recognizes\u00a0<\/p>

the role of Science, Technology and Innovation in economic development. Knowledge in<\/p>

Science, Technology and Innovation is a key enabler for implementation of the strategies<\/p>

and flagship projects towards fulfilling vision 2030. The MSc. Cyber Security is key<\/p>

enabler of the digital economy because it addresses the growing concern of secure cyber<\/p>

space for digital transformation of businesses and Organizations.<\/p>

Admission Requirements<\/strong><\/p>

Candidates wishing to study MSc. Cyber Security programme must be a holder of;<\/p>

Bachelor\u2019s 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;<\/p>