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
To be admitted to the programme, you must have at least a second-class honours Bachelor’s degree in Information Technology, Computer Science, or any other Computing or Mathematics discipline from any recognized university in and beyond Uganda. Applicants with a PGD in the above disciplines will also be considered.
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.
What you will Learn
When you successfully completes the course you will have achieved the following Course Learning Outcomes:
You will have the ability to communicate computer science concepts, designs, and solutions effectively and professionally.
This course will offer training, which will prepare students to embark on Big Data Analytics careers, which is one of the fastest growing technologies. Students will also be provided with a very good foundation for further study at PhD level.
Prepare and equip you for opportunities in the ever-changing technology with hands-on industrial training.
Transform you to become globally competent professionals through internship.
Nurture the creativity and inculcate entrepreneurial skills.
The Project work will give your hands on experience in solving a real-world problem.
Career Opportunities
The programme provides you with the skills and knowledge required to pursue a career in Big Data Analytics. Graduates can explore various career paths, such as:
Data Analyst: Data analysts use statistical and data visualization tools to analyze data and provide insights for decision-makers.
Data Scientist: Data scientists are responsible for analyzing large and complex datasets using statistical and machine learning techniques.
Business Intelligence Analyst: Business intelligence analysts use data analysis to help organizations make informed decisions.
Big Data Engineer: Big data engineers design, build and maintain the systems that manage and process large volumes of data.
Data Architect: Data architects design the structure of data systems, ensuring they can support the storage, processing, and retrieval of large amounts of data.
Consultant: Big data consultants provide advice and guidance to organizations on how to effectively manage and analyze large amounts of data.
By completing this programme, you will be well-equipped to take advantage of the many career opportunities available in the field of Big Data Analytics. You will also have the foundation for further study at the PhD level.
We look forward to welcoming you to the programme and helping you achieve your career goals in this exciting and rapidly growing field!
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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