Quick Facts
Credential
Master's Degree
Delivery Options:
Both On-Campus and Online - Some of your Classes will be in-person, on campus and some will be done online.
Duration: 2 years
With a typical full-time course load, this programme will take 2 years to complete.
Language of instruction
english
Admission Requirements
Criteria for Admission and Selection Procedure:
Applicants must possess at least a second-class honours Bachelor's degree in Information Technology, Computer Science, or any other Computing or Mathematics discipline from a recognized university in Uganda or beyond.
Applicants with a Post-graduate Diploma (PGD) in the above-mentioned disciplines from an accredited institution/university will also be considered.
Provide any additional admission requirements or procedures, such as submission of transcripts, letters of recommendation, statement of purpose, etc., if applicable.
Note: It's important to review the specific admission requirements and procedures of the institution offering the Master of Science in Computer Science programme for the most accurate and up-to-date information.
Applicants whose first language is not English will be required to demonstrate a proficiency in the English language by passing an English proficiency Test conducted by the University.
Admission Requirements Postgraduate Students (Ugandans)
· Bachelor’s Degree transcript
· Diploma transcript if applicable
· Certificate if applicable
· UACE result slip
· UCE result slip
· National ID/passport/ birth certificate
· Two Passport Photos
· Admission fee receipt UGX 250,000
Admission Requirements Postgraduate students (Non-Ugandans)
· Bachelor’s transcript
· Diploma transcript if applicable from NCHE
· Certificate if applicable from NCHE
· Secondary certificate from UNEB
· National ID/passport/ birth certificate
· Two passport photos
· Admission fees Receipt $78
What you will Learn
At the end of the Masters of Science in Computer Science programme, the students should be able to:
Demonstrate the ability to communicate computer science concepts, designs, and solutions effectively and professionally.
Identify opportunities in the ever-changing technology with hands-on industrial training.
Plan for globally competitive professional environment in area of data science through internship.
Create and inculcate entrepreneurial skills among themselves.
Develop hands on experience in solving a real-world problem
Career Opportunities
Tuition & Fees
The tuition and fee amounts are estimates based on current academic year's rates. For financial planning purposes, please use these totals as an approximate estimate of your costs. Actual fees may vary by term and enrolment activities.
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