Online Master of Science (MSc) In Data Science and Analytics
Description of the Program
The proposed Master of Science in Data Science and Analytics program is grounded on the belief that data-driven decision-making is central to organizational success in the digital era. The program is designed to provide learners with the technical abilities and professional skills to utilize various analytical tools required to discover, understand and engage with massive complex data with the aim of meeting specific organizational needs and goals. Learners will gain the expertise required to analyze data, improve decision-making, enhance critical thinking and help organizations gain a competitive advantage.
There are three different areas of concentration: Data Science Concentration, Machine Learning Operations (MLOps) Concentration and Applied Analytics Concentration.
Program Learning Outcomes
Upon successful completion of the program the learner will be able to;
- Apply data analytics expertise and devise successful analytics strategies to a wide range of organizations
- Apply tools and techniques for building statistical or machine learning models to make predictions and decisions based on data
- Implement computerized decision support systems applied to specific real-life problems
- Conduct big data projects and manage innovation for developing data-driven solutions
- Use data mining techniques to extract insights from data
Career Prospects/ Opportunities
- Data Scientists
- Data Architects
- Data Engineer
- Machine Learning Engineer
- MLOPs Engineer
- Business Intelligence Analyst
- Data Analysts
- Statistical Analyst
- AI Researcher
- Risk/ Fraud Analyst
Admission Requirements
Must be a holder of a Bachelor’s degree in Data Science and Analytics, Statistics, Engineering, Computer Science, Mathematical Sciences (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
Other degrees maybe considered by demonstration of adequate programming skills/ take some bridging or pre-requisite courses i.e. Bachelor’s degree from recognized undergraduate degree in any field with demonstration of adequate programming skills or take Pre-Requisite courses
Pre-Requisite Courses
Students without background in Data Science and Analytics or related disciplines will do:
- DSA 1060
- DSA 3020
- STA 3010
Dual Accreditation and Recognition
Earn an internationally recognized degree, enhancing your career prospects worldwide. Our dual accreditation by the Commission for University Education (CUE) in Kenya and the WASC Senior College and University Commission (WASCUC) in the USA ensures your qualification is respected and valued globally.
Apply Now and Launch Your Data Science Career
Ready to launch a rewarding career in data science? Apply to USIU-Africa’s online MSc program today!
Curriculum
- 4 Sections
- 26 Lessons
- 78 Weeks
- Core Courses11
- 1.1STA 6110: Linear and Nonlinear Models
- 1.2MTH 6120: Mathematics for Machine Learning
- 1.3STA 6130: Time Series Analysis
- 1.4MDA 6210: Data Visualization and Communication
- 1.5STA 6220: Computational Statistics
- 1.6STA 6230: Bayesian Statistics
- 1.7MDA 6310: Cybersecurity Analytics
- 1.8MDA 6320: Data Governance and Ethics in AI
- 1.9MDA 6330: Data Science Seminar
- 1.10MDA 6570: Project Proposal
- 1.11MDA 6610: Project Report/ Dissertation
- Data Science Concentration5
- Machine Learning Operations (MLOps) Concentration5
- Applied Analytics Concentration5
Target audiences
- Data Scientists
- Data Analysts
- Data Managers
- Data System Developers
- Computer Programers
- Data Engineers
- Data Architects
- Information Analysts
- Statisticians
- Business Intelligence Developers
