- 2 Years
- Online
- Intake: Jan (Spring)
Overview
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.
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
Contact us
United States International University – Africa Off USIU Road, Off Thika Road (Exit 7), P. O. Box 14634 – 00800, Nairobi, Kenya, East Africa.
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
Recipient of the 2024 QM Award for Outstanding Impact
The award recognizes outstanding dedication to best practices for online learning to serve and support learners around the globe
Dual Accreditation
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.
Career Opportunities
- Data Scientists
- Data Architects
- Data Engineer
- Machine Learning Engineer
- MLOPs Engineer
- Business Intelligence Analyst
- Data Analysts
- Statistical Analyst
- AI Researcher
- Risk/ Fraud Analyst
4 Sections > 26 Lessons > 78 Weeks
Core Courses
- STA 6110: Linear and Nonlinear Models
- MTH 6120: Mathematics for Machine Learning
- STA 6130: Time Series Analysis
- MDA 6210: Data Visualization and Communication
- STA 6220: Computational Statistics
- STA 6230: Bayesian Statistics
- MDA 6310: Cybersecurity Analytics
- MDA 6320: Data Governance and Ethics in AI
- MDA 6330: Data Science Seminar
- MDA 6570: Project Proposal
- MDA 6610: Project Report/ Dissertation
Data Science Concentration
- MDA 6410: Advanced Machine Learning
- MTH 6420: Graph Analytics
- MDA 6430: Data Mining and Warehousing
- STA 6510: Multivariate Methods
- MTH 6520: Optimization and Simulation Methods for Analytics
Machine Learning Operations (MLOps) Concentration
- MDA 6410: Advanced Machine Learning
- MTH 6420: Graph Analytics
- MDA 6430: Data Mining and Warehousing
- MDA 6450: DevOps
- MDA 6530: Software Design and Architecture
Applied Analytics Concentration
- MDA 6460: Business Analytics
- MDA 6470: Fraud Detection Analytics
- MDA 6480: Text Analytics
- MDA 6550: Finance and Risk Management Analytics
- MDA 6560: Geo-Intelligence/ Spatial Analytics
1. What are the benefits of enrolling in the Data Science and Analytics online program at USIU Online University?
Our Data Science and Analytics online program offers a range of benefits, including global interactive learning and networking opportunities, dual accreditation in Kenya and the USA, self-paced flexibility, accessibility and inclusion, and instructor-led learning. Upon completion of the program, you will gain essential knowledge in statistics, mathematics, computer science, and data science, enabling you to analyze, interpret, and derive insights from complex datasets.
2. What are the admission requirements for the Data Science and Analytics online program?
To be eligible for the Data Science and Analytics online program, you must meet one of the following admission requirements: C+ for the Kenya Certificate of Secondary Education (KCSE) with a minimum of C+ (Plus) in Mathematics At least two principal passes in KACE (or EACE) Five (5) upper level passes at IGCSE/IB Five (5) credits in any 5 subjects at ‘O’ Level, and/or ‘A’ Level passes of C at GCE KNEC diploma or its equivalent.
3. What types of careers can I pursue with a Bachelor of Science in Data Science and Analytics?
Graduates of the program can pursue a wide range of careers, including data analyst, data scientist, business intelligence analyst, and data engineer, among others.
4. Does the program offer any hands-on learning opportunities?
Yes, the program includes project-based assignments and case studies that allow students to apply their data science skills to real-world scenarios.
5. Will I have access to global networking opportunities through the Data Science and Analytics online program?
Yes, our Data Science and Analytics online program offers global interactive learning and networking opportunities, allowing you to connect with professionals and classmates from around the world. This will enable you to expand your professional network and stay up-to-date with the latest developments in the field of data science and analytics.