Lund University

Overview

The Master of Science in Computational Science (Scientific Computing) at Lund University is designed to equip students with the skills needed to develop, analyze, and enhance computational models for various scientific and engineering challenges. This program integrates advanced numerical methods with programming and high-performance computing, enabling students to engage in simulation and data-driven research effectively.

• Degree: Master of Science (MSc)
• Programme title: Computational Science (Scientific Computing)
• Credits: 120 ECTS
• Duration: 2 years (full-time)
• Delivery: On-campus in Sweden
• Language of instruction: English
• Typical learning format: Lectures, problem-based coursework, and a supervised master’s thesis

What you'll study

The curriculum is designed to blend in-depth scientific computing courses with a focus on research through a master’s thesis. While the specific courses may vary, students can expect to cover a range of essential topics.

Typical curriculum components

• Numerical methods and algorithmic foundations (including discretization, stability, accuracy, and practical algorithm design)
• Verification, validation, and reproducibility (methods to assess computational results and ensure reliable workflows)
• High-performance computing (HPC) (concepts of performance, memory, compute considerations, and scalable execution)
• Parallel and distributed computing (understanding parallel algorithms and fundamentals of distributed execution)
• Computational methods for data analysis (exploring model-based and data-driven approaches for scientific inquiries)
• Mathematical modeling and simulation (creating models, conducting simulations, and analyzing outcomes)
• Optimization for scientific computing (applying optimization methods in calibration, inverse problems, and model refinement)
• Research methods in computational science (developing scientific workflows, documentation, and research practices)
• Master’s thesis (a supervised research project involving problem formulation, implementation, evaluation, and report writing)

Electives: Students have the option to select additional courses that align with their interests, subject to availability and program regulations.

Entry requirements

Applicants are not required to submit GRE or GMAT scores for this program. While there is no specific GPA requirement, admission decisions are based on the overall academic background and the applicant's suitability for the field of computational science.

Career prospects

Graduates of the MSc in Computational Science are well-prepared for a variety of career paths in academia, industry, and research institutions. They can pursue roles such as computational scientists, data analysts, software developers, and researchers, leveraging their expertise in scientific computing to tackle complex problems across diverse sectors.