Bachelor of Science in Data Science & Analytics
- Entry Requirements
- 2 Principal passes, [One of the passes should be (MATHS or PHYSICS or ECONOMICS)]
- OR A diploma in ICT-related field, or Statistics
- OR a Higher Education Certificate (HEC)
Overview
We equip you with industry-relevant skills for employment in many sectors, including banking, healthcare, transportation, finance, marketing, eGovernment, cybersecurity, architecture & urban planning, and mechanical & civil engineering.
You have the option to specialize in Artificial Intelligence, Machine Learning, Data Engineering, Data Visualization, Business Intelligence, Financial Analytics, and more.
In this era of digital transformation, organizations realize the value and importance of making the right decisions at the right time, which can only be made through relying on the relevant and timely availability of data and information that are processed as part of the decision-making process
In the era of digital transformation, organizations realize the value and importance of making the right decisions at the right time, which can only be made through relying on the relevant and timely availability of data and information that are processed as part of the decision-making process
Data science is an interdisciplinary academic field that uses statistics, scientific computing, scientific methods, processes, algorithms and systems to extract or extrapolate knowledge and insights from noisy, structured, and unstructured data.
Data science offers several advantages as a career choice. Firstly, it has a high demand across industries, including finance, healthcare, e-commerce, and technology.
Admission Requirement
- A Uganda Certificate of Education (UCE) or an equivalent qualification, AND;
- A Uganda Advanced Certificate of Education (UACE) with at least two principal passes obtained at the same sitting or its equivalent. One of the principal passes must be in either physics or mathematics or economics.
- A Higher Education Certificate of at least second class (Upper Division) with either Mathematics or Physics as the major subjects
- The applicant should hold a diploma of atleast second class-lower division in any field related to Science, Technology Engineering, and Mathematics (STEM).
- The Department of Computing and Technology reserves the right to determine course equivalence between the applicant’s Diploma program and the UCU BSDS curriculum. The department may waive the equivalent courses passed by the applicant and determine the level the applicant can join the BSDS program.
- Candidates for the Mature Age/Special Entry scheme must be Ugandan nationals of at least 22 years and have had formal education.
- Those who are successful in both the written and the oral examination are then considered for admission.
- In the case of international applicants, their academic documents have to be assessed by UNEB to evaluate their qualifications and rating against the Ugandan system. This will then be checked against the other entry requirements before being considered for admission.
In the event that an applicant is seeking to transfer accumulated credits from a program in a Ugandan university or any international partner university with which a bilateral partnership agreement exists, the departmental of Computing and Technology shall assess their qualifications (credits) against the UCU system to ascertain their possible level of entry before consideration for admission. Applicants for credit transfer from other Universities into the BSIT program shall fulfill the following conditions:
- Shall fulfill all the requirements for direct entry to the BSDS program, and;
- The originating University MUST be recognized by the Ugandan National Council of Higher Education (NCHE).
- The Department of Computing and Technology reserves the right to determine course equivalence between the applicant’s program of origin and the UCU BSDS curriculum. The department may waive the equivalent courses passed by the applicant and determine the level the applicant can join the BSDS program.
Tuition fees
The 2023 tuition fees for the BSc in Data Science and Analytics are UGX 2,345,000 for Ugandan applicants and UGX 3,517,000 for international applicants. Note: The stated fees are provisional to help you plan accordingly. The actual fees for the application year will be stated in your admission letter.
Course Curriculum
Semester 1
| Code | Course Name | Type | CU |
|---|---|---|---|
| DSC1101 | Introduction to Data Science | C | 3 |
| MTH1102 | Discrete Mathematics | C | 3 |
| CSC1101 | Structured Programming | C | 4 |
| ICT1102 | Essential Hardware and Software concepts | C | 4 |
| ICT1103 | Fundamentals of Computing | C | 4 |
| LNG1101 | Writing and Study Skills | C | 3 |
| TBS1103 | Understanding the Old Testament | C | 3 |
Semester 2
| Code | Course Name | Type | CU |
|---|---|---|---|
| CSC1203 | Data Structures and algorithms | C | 4 |
| CSC2210 | Web Programming | C | 4 |
| MTH1203 | Probability and Statistics | C | 3 |
| ICT1205 | Database Design and Applications | C | 4 |
| ICT1206 | Local Area Computer Networking | C | 3 |
| TBS1201 | Understanding the New Testament | C | 3 |
| PBH2108 | Health and Wholeness | C | 3 |
RECESS Semester 1
| Code | Course Name | Type | CU |
|---|---|---|---|
| DSC1302 | Workshop Practice | C | 3 |
Semester 1
| Code | Course Name | Type | CU |
|---|---|---|---|
| MTH2104 | Calculus | C | 3 |
| MTH2206 | Linear Algebra | C | 3 |
| CSC2105 | Object Oriented Programming | C | 4 |
| CSC2208 | Artificial Intelligence | E | 4 |
| SYE2101 | Software Design and Engineering | C | 3 |
| TST2206 | Understanding Ethics from a Christian Perspective | C | 3 |
Semester 2
| Code | Course Name | Type | CU |
|---|---|---|---|
| DSC2204 | Big Data Analytics with R | C | 4 |
| DSC2205 | Data Visualization and Storytelling | C | 4 |
| DSC2207 | Data Mining and Wrangling | C | 4 |
| MTH2207 | Optimization Theory | C | 3 |
| CSC2214 | Computational Research Methods | C | 3 |
| DSC2206 | Time Series Analysis and Forecasting | E | 3 |
| CSC3116 | Machine learning | E | 4 |
RECESS Semester 2
| Code | Course Name | Type | CU |
|---|---|---|---|
| DSC2302 | Internship | C | 3 |
Semester 1
| Code | Course Name | Type | CU |
|---|---|---|---|
| DSC3121 | DS Research project I | C | 3 |
| DSC3114 | Scientific writing, reporting and publishing | C | 3 |
| CSC3218 | Deep learning | E | 4 |
| CSC2209 | Database Programming | C | 4 |
| DSC3108 | Big Data Mining and Analytics | E | 3 |
| DSC3110 | Business Intelligence | E | 3 |
| DSC3112 | Cognitive Computing | E | 3 |
| DSC3113 | Knowledge Engineering | E | 3 |
| ICT3114 | Biological Modeling and Simulation | E | 3 |
| ICT3113 | Biostatistics | E | 3 |
Semester 2
| Code | Course Name | Type | CU |
|---|---|---|---|
| DSC3221 | DS Research project II | C | 3 |
| CSC3221 | Cyber Threat Intelligence and Data Security | C | 4 |
| ENT3152 | Advanced Topics and Technopreneurship | C | 3 |
| TST3108 | Understanding World Views | C | 3 |
| DSC3215 | Financial and Risk Analytics | E | 4 |
| DSC3216 | Operations-Related Data Analytics | E | 3 |
| DSC3218 | Text Analytics and Natural Language Processing | E | 3 |
| SYE3206 | Internet of Things | E | 3 |
| DSC3220 | Data Engineering and Data Warehousing | E | 3 |
| DSC3219 | Cloud and Distributed Computing | E | 3 |
| DSC3217 | Sequence Analysis | E | 3 |
| ICT3219 | Introduction to Bioinformatics | E | 3 |
| ICT3218 | Computational Genomics | E | 3 |
Career Prospects
The BSc Data Science and Analytics aims to provide a programme of study that combines, mathematics, statistics, and computer science especially machine learning and programming to find approaches to solve data analysis and analytics problems
How to Apply?
You can apply either online (recommended) or download and fill out application forms and submit them physically at any of our campuses in Kampala, Mukono, Kabale, Mbale or Arua.