- 4 Years
- Online
- Intake: All Semesters
Overview
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
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.
Contact us
United States International University – Africa Off USIU Road, Off Thika Road (Exit 7), P. O. Box 14634 – 00800, Nairobi, Kenya, East Africa.
Program 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
7 Sections > 48 Lessons > 78 Weeks
General Education Courses
- SUS 1010 Strategies for University Success
- ENG 1106 Composition I
- IST 1020 Introduction to Information Systems
- MTH 1109 College Algebra
- FIL 1010 Fundamentals of Information Literacy
Foreign language: Choose one from the following
- FRN1000, SPN1000, JPN1000, CHI1000, SWA1000, or ARB1000
General Education Elective I
- GRM 2000 Introduction to Research Methods
- ENG 2206 Composition II
Foreign language ii: A continuation of Foreign Language I.
- FRN1001, SPN1001, JPN1001, CHI1001, SWA1001, or ARB1001
General Education Elective II
- CMS 3700 Community Service
- SEN 4800 Integrated Seminar
Data Science/ Computer Science/ IT Courses
- DSA 1060 Introduction to Data Science
- DSA 1080 Programming for Data Science
- APT 1050 Database Systems
- APT 2060 Data Structures and Algorithms
- APT 3040 Object Oriented Analysis, Design & Programming
- DSA 2040 Data Warehousing and Mining
- DSA 2050 Data Science Methodology
- DSA 2020 Artificial Intelligence
- DSA 3020 Principles of Machine Learning
- DSA 3050 Business Intelligence and Data Visualization
- DSA 3030 Big Data Architecture
- DSA 4010 Big Data Analytics
- DSA 3900 Data Science Project Proposal
- DSA 4020 Natural Language Processing
- DSA 4030 Big Data Security and Ethics
- DSA 4050 Deep Learning and Computer Vision
- DSA 4060 Recommender Systems
- DSA 4900 Data Science Project Implementation
- DSA 4910 Data Science Internship
Statistics/Mathematics Courses
- MTH 1040 Linear Algebra
- STA1020 Probability and Statistics I
- MTH 1110 Calculus
- MTH 2215 Discrete Mathematics
- MTH 1050 Differential Equations
- MTH 2030 Numerical Analysis and its Applications
- STA 1040 Statistical Computing
- STA 2010 Probability and Statistics II
- MTH 2020 Optimization Techniques
- MTH 1060 Analytical and Computational Techniques
- STA 2030 Statistical Inference
- STA 2060 Stochastic Processes
- STA 3020 Multivariate Statistical Analysis
- STA 3010 Statistical Modeling
- STA 3040 Mathematical Modeling and Simulation
- MTH 3010 Mathematical Finance
- STA 3050 Time Series Analysis and Forecasting
- STA 4030 Bayesian Inference and Decision Theory
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.
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