B.Sc. · Undergraduate
Computational Science
- Degree
- B.Sc.
- Level
- Undergraduate
- Duration
- 4 years
- Credits
- 128
Programme overview
The Computational Science program equips students with advanced mathematical modeling, simulation, and high-performance computing (HPC) skills. It combines mathematics, physics, and computer science to solve real-world problems in climate modeling, finance, biomedical research, and engineering.
Curriculum
Year 1
7 courses- 01Introduction to Computational Science
- 02Calculus I & II
- 03Programming I (Python
- 04MATLAB)
- 05Academic Writing & Communication
- 06General Physics I (Mechanics)
- 07Linear Algebra I
Year 2
6 courses- 01Data Structures & Algorithms
- 02Numerical Methods I
- 03Probability & Statistics for Computational Models
- 04Scientific Computing I (MATLAB
- 05Computer Architecture & Parallel Processing
- 06General Physics II (Electricity & Magnetism)
Year 3
8 courses- 01Numerical Methods II (Differential Equations
- 02Finite Element Methods)
- 03High-Performance Computing (MPI
- 04CUDA)
- 05Computational Physics (Quantum/Statistical Models)
- 06Computational Biology & Bioinformatics
- 07Climate & Environmental Modeling
- 08Machine Learning for Scientific Applications
Year 4
9 courses- 01Advanced Computational Finance
- 02Big Data Analytics for Science
- 03Visualization of Complex Systems
- 04Capstone Project (e.g
- 05Climate Simulation
- 06Biomedical Data Analysis
- 07Computational
- 08Finance Model)
- 09Internship
Course lists are indicative and may be updated as the programme is accredited and reviewed.
Related programmes
- B.Sc.Computer ScienceThe Computer Science program at TAU provides a strong foundation in algorithms, data structures, software development, operating systems, and theoretical computer science, while also exposing students to modern fields like machine learning, cybersecurity, and cloud computing. Students graduate as versatile problem-solvers ready for careers in both industry and research.
- B.Sc.Software EngineeringThis program emphasizes the systematic development of large, reliable, and scalable software systems, combining theory with real-world project experience. Students learn requirements engineering, agile methods, DevOps, testing, and software project management.
- B.Sc.Artificial IntelligenceThe Artificial Intelligence program equips students with expertise in machine learning, deep learning, computer vision, robotics, and natural language processing (NLP). Students will also study the ethics and societal impacts of AI, preparing them for leadership in Africa's AI- driven transformation.