Categories: Undergraduate Degrees
Online BSc in Data Science & Analytics: Become a Data-Driven Professional
Master the Skills for a High-Demand Career
USIU-Africa’s online BSc in Data Science & Analytics program equips you with the essential knowledge and skills to thrive in the rapidly growing field of data science. You’ll gain a strong foundation in statistics, mathematics, computer science, and data science techniques, enabling you to analyze complex datasets, extract meaningful insights, and drive data-driven decision-making in any organization.
Program Highlights: Practical Skills, In-Demand Expertise, and Career Readiness
A Comprehensive Data Science Curriculum
Our program provides a comprehensive education in data science, covering key areas such as:
- Statistical analysis and modeling
- Data mining and machine learning algorithms
- Data visualization and communication
- Programming and computational tools for data analysis
- Data management and organization techniques
Addressing Real-World Data Challenges
In today’s data-driven world, organizations face increasing challenges in managing and interpreting vast datasets. Our program directly addresses these challenges, providing you with the skills to design and build data-driven systems for effective decision support.
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.
🎯 Career Focused Learning Outcomes
Upon completion of this program, you will be able to:
- Solve analytical problems using sound data science principles.
- Develop and evaluate analytical models, understanding their strengths and limitations.
- Apply programming and computational tools to analyze and visualize datasets effectively.
- Utilize machine learning algorithms to mine data and extract valuable insights.
- Apply data science techniques to enhance organizational data management.
📌 Admission requirements
The minimum University entrance qualifications are:
- C+ for the Kenya Certificate of Secondary Education (KCSE) with a minimum of C+ (Plus) in Mathematics or
- At least two principal passes in KACE (or EACE or
- 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
Apply Now and Launch Your Data Science Career
Ready to launch a rewarding career in data science? Apply to USIU-Africa’s online BSc program today!
Click here to start your application!
Curriculum
- 7 Sections
- 48 Lessons
- 78 Weeks
Expand all sectionsCollapse all sections
- General Education Courses5
- Foreign language i: Choose one from the following1
- General Education Elective I2
- Foreign language ii: A continuation of Foreign Language I.1
- General Education Elective II2
- Data Science/ Computer Science/ IT Courses19
- 6.1DSA 1060 Introduction to Data Science
- 6.2DSA 1080 Programming for Data Science
- 6.3APT 1050 Database Systems
- 6.4APT 2060 Data Structures and Algorithms
- 6.5APT 3040 Object Oriented Analysis, Design & Programming
- 6.6DSA 2040 Data Warehousing and Mining
- 6.7DSA 2050 Data Science Methodology
- 6.8DSA 2020 Artificial Intelligence
- 6.9DSA 3020 Principles of Machine Learning
- 6.10DSA 3050 Business Intelligence and Data Visualization
- 6.11DSA 3030 Big Data Architecture
- 6.12DSA 4010 Big Data Analytics
- 6.13DSA 3900 Data Science Project Proposal
- 6.14DSA 4020 Natural Language Processing
- 6.15DSA 4030 Big Data Security and Ethics
- 6.16DSA 4050 Deep Learning and Computer Vision
- 6.17DSA 4060 Recommender Systems
- 6.18DSA 4900 Data Science Project Implementation
- 6.19DSA 4910 Data Science Internship
- Statistics/Mathematics Courses18
- 7.1MTH 1040 Linear Algebra
- 7.2STA1020 Probability and Statistics I
- 7.3MTH 1110 Calculus
- 7.4MTH 2215 Discrete Mathematics
- 7.5MTH 1050 Differential Equations
- 7.6MTH 2030 Numerical Analysis and its Applications
- 7.7STA 1040 Statistical Computing
- 7.8STA 2010 Probability and Statistics II
- 7.9MTH 2020 Optimization Techniques
- 7.10MTH 1060 Analytical and Computational Techniques
- 7.11STA 2030 Statistical Inference
- 7.12STA 2060 Stochastic Processes
- 7.13STA 3020 Multivariate Statistical Analysis
- 7.14STA 3010 Statistical Modeling
- 7.15STA 3040 Mathematical Modeling and Simulation
- 7.16MTH 3010 Mathematical Finance
- 7.17STA 3050 Time Series Analysis and Forecasting
- 7.18STA 4030 Bayesian Inference and Decision Theory
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.
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.
Graduates of the program can pursue a wide range of careers, including data analyst, data scientist, business intelligence analyst, and data engineer, among others.
Yes, the program includes project-based assignments and case studies that allow students to apply their data science skills to real-world scenarios.
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.
Target audiences
- Data Scientists
- Data Analysts
- Data Managers
- Data System Developers
- Computer Programers
- Data Engineers
- Data Architects
- Information Analysts
- Statisticians
- Business Intelligence Developers
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