EPFL MSc Computational Science and Engineering

What is EPFL MSc Computational Science and Engineering?

EPFL’s MSc Computational Science and Engineering is a full-time 120 ECTS master’s in Lausanne. The route moves from Advanced numerical analysis II towards Hydrodynamics and prepares students for scientific-computing engineer and simulation specialist work. It isn’t a conversion degree, so the relevant bachelor’s foundation must be visible before enrolment.

Algorithms II and Multivariable control point to different decisions inside MSc Computational Science and Engineering. A strong study plan explains why both serve one defined computational researcher problem, what method each contributes and which limitation the final project will test rather than hiding behind the breadth of the catalogue.

The later appearance of Randomized matrix computations (Cours helps an applicant work backwards from a graduation output. That academic sequence should be planned beside the INR 68.60 lakh full-programme budget, because changing direction after arrival costs both credits and living time in Lausanne.

How much does EPFL MSc Computational Science and Engineering cost for an Indian student?

The two-year planning total is CHF 59,548, about INR 68.60 lakh. It combines four CHF 2,240 international semester invoices, two years of EPFL’s published foreign-student living budget and the CHF 150 foreign-certificate application fee. It is a planning total, not an invoice issued in one payment.

EPFL's living budget is CHF 25,219 a year for a foreign student and describes a rental deposit as money that may be blocked, not spent. Converted at CHF 1 = INR 115.20, derived from ECB daily reference rates for INR and CHF on 29 September 2026. Flights, exchange spreads and the blocked rental deposit are excluded.

The international invoice contains CHF 2,190 tuition and CHF 50 in membership, sports and social-fund charges. EPFL states the fee rule directly.

Only the CHF 730 semester tuition fee is tripled by this measure.EPFL Study Management

The resulting international tuition is CHF 2,190, before the CHF 50 semester charges.

Living costs create most of the financial exposure. EPFL’s foreign-student table includes CHF 10,800 yearly housing, CHF 7,200 food, CHF 1,400 health insurance, transport, liability cover, residence tax, supplies and other expenses. Architecture has an additional published study-visit allowance that should be added where applicable.

The CHF 10,000-per-semester Excellence Fellowship is competitive and limited. It can cover at most four semesters and doesn’t remove the need to pay tuition, rent and other costs on time, so this budget doesn’t assume the fellowship is won.

Can an Indian applicant meet EPFL MSc Computational Science and Engineering entry requirements?

The academic starting point is a science or engineering bachelor’s with excellent results and strong mathematics, numerical methods and programming. EPFL evaluates the university, curriculum, grades, research references, specialisation, statement and recommendations together. It publishes no universal Indian percentage or CGPA that guarantees admission.

For MSc Computational Science and Engineering, the useful transcript map places the Indian module, credit load, result and official syllabus beside Parallel and high-performance computing. That lets the committee judge substance rather than infer readiness from a translated award title.

EPFL can prescribe extra credits for limited gaps, but Computational optimal transport (Pas signals the level at which this master’s operates. The discretion doesn’t promise to rebuild the earlier preparation needed for scientific-computing engineer work.

A referee supporting the simulation specialist direction should describe work they actually supervised, its standard and the applicant’s decisions. Evidence tied to Linear models is more useful than praise that could accompany any postgraduate application.

Four checks that decide an EPFL MSc Computational Science and Engineering file

1. Meeting every published condition still does not secure admission

   EPFL states the limitation plainly.

   Please note that meeting all of these criteria is no guarantee of admission.EPFL MSc Computational Science and Engineering admission criteria

   The committee can still compare academic quality, references, specialisation and the overall file.

2. Only one EPFL master's choice can be submitted

   EPFL permits one master’s application per academic year. Choosing MSc Computational Science and Engineering therefore removes the option to submit a second EPFL programme as an internal safety choice.

3. The translated degree title is not the subject map

   For MSc Computational Science and Engineering, list the completed modules that prove the required academic preparation. Match each claim to credits, results and an official syllabus so any missing depth is visible before payment.

4. Reference timing is separate from the form deadline

   The form closes on 15 December or 31 March, but referees receive one further week. The applicant cannot upload those letters personally, and the file is not processed unless EPFL receives at least two.

How should an Indian student apply for EPFL MSc Computational Science and Engineering in 2027?

The route is one online EPFL application followed by a separate Swiss visa and residence process. Submit by 15 December 2026 or 31 March 2027; visa applicants are advised to use December because that result is expected in late March instead of mid-June.

Choose one EPFL master's, submit the complete online dossier and fee, secure referee letters, meet any offer conditions, then complete the Swiss entry and residence process.

The allowances are Nbyula planning estimates, not processing times published by EPFL (École Polytechnique Fédérale de Lausanne).

The online file accepts English or French documents. A document in another language needs a legalised translation, while the final proof of the qualifying degree may arrive no later than 30 September after admission.

The application fee is CHF 150 for a foreign bachelor’s and isn’t refunded after withdrawal or non-validation. Payment and form validation are both required before the chosen round closes.

The later round is academically available, but its mid-June result reduces the time for the visa, housing and travel. That timing cost matters more for an Indian applicant than any belief that one round has easier academic selection, which EPFL doesn’t state.

What jobs can follow EPFL MSc Computational Science and Engineering?

The programme can support several technical and research directions. EPFL’s institution-wide 2022 survey reported a CHF 88,108 average salary among 315 master’s respondents working in Switzerland, but that isn’t a programme placement rate or a salary promise for this cohort.

scientific-computing engineer, simulation specialist and computational researcher are curriculum-supported directions for MSc Computational Science and Engineering. They are not a programme-specific placement result, employer commitment or Swiss permit promise.

A scientific-computing engineer portfolio can use Algorithms II to state the method and Hydrodynamics to show where that method was tested. The valuable evidence is the student’s own decision, result and limitation, not the EPFL label on its own.

Someone targeting simulation specialist work would need a different emphasis: Multivariable control can support the specialism, while Randomized matrix computations (Cours donné en alternance tous les deux ans) can make the final output inspectable. Scheduling and prerequisites still decide whether that combination fits one 120 ECTS plan.

After MSc Computational Science and Engineering, Switzerland gives a third-country graduate six months to seek work matching the qualification. A scientific-computing engineer offer still goes through authority review; completing Projet de master en science et ingénierie computationelles doesn’t itself create permission to work.

For a prospective computational researcher, French ability, prior experience and the exact vacancy may matter alongside technical evidence from Computational optimal transport (Pas donné en 2026-27). EPFL publishes no audited MSc Computational Science and Engineering placement percentage with which to predict that outcome.

In MSc Computational Science and Engineering, Advanced numerical analysis II, Continuous optimization and HPC for numerical methods and data analysis (Pas donné en 2026-27) make the route towards scientific-computing engineer concrete. Their position in Published programme options joins Advanced numerical analysis II to HPC for numerical methods and data analysis (Pas donné en 2026-27), so the academic story is about a connected capability rather than a collection of fashionable titles.

The Published programme options sequence contains Machine learning, Mathematical aspects of materials modelling and Numerical analysis and computational mathematics. For MSc Computational Science and Engineering, that sequence turns numerical methods, high-performance computing, simulation, modelling and data-driven scientific computation into assessed work and exposes whether an applicant’s earlier study reaches the level expected for simulation specialist problems.

A student shaping MSc Computational Science and Engineering around computational researcher work can read Numerical analysis and computational mathematics, Parallel and high-performance computing and Programming concepts in scientific computing as one evidence chain. Numerical analysis and computational mathematics supplies one part of the method, while Programming concepts in scientific computing shows the later application or project context recorded in Published programme options.

EPFL places Stochastic simulation, HSS : Introduction to project and HSS : Project within Published programme options for this programme. The combination matters because MSc Computational Science and Engineering is built around numerical methods, high-performance computing, simulation, modelling and data-driven scientific computation; isolated familiarity with only one topic would not reproduce that breadth.

The published path from CSE project I to Engineering internship (master in computational sciences and engineering (Stage d’au minimum 8 semaines après le 2ème semestre de Master. Inscription par la bourse aux stages) passes through CSE project I, CSE project II and Engineering internship (master in computational sciences and engineering (Stage d’au minimum 8 semaines après le 2ème semestre de Master. Inscription par la bourse aux stages). In a simulation specialist portfolio, those assessed components can document technique, implementation and judgement instead of relying on the degree name as evidence.

For MSc Computational Science and Engineering, the cluster Engineering internship (master in computational sciences and engineering (Stage d’au minimum 8 semaines après le 2ème semestre de Master. Inscription par la bourse aux stages), Advanced computer graphics and Advanced multiprocessor architecture sits under Block SHS Master. It links the programme’s numerical methods, high-performance computing, simulation, modelling and data-driven scientific computation direction to the kind of decisions a computational researcher must explain, test and defend in a project.

The curriculum does not present Algorithmic game theory in isolation: nearby choices include Algorithmic game theory, Algorithms II and Applied data analysis. That neighbourhood distinguishes MSc Computational Science and Engineering from a broad conversion degree and rewards prior preparation aligned with numerical methods, high-performance computing, simulation, modelling and data-driven scientific computation.

Within Group 1, EPFL lists Atomistic and quantum simulations of materials (Pas donné en 2026-27), Bayesian statistics and Computational linear algebra. The useful outcome is not exposure to three labels; it is an assessed route in which Atomistic and quantum simulations of materials (Pas donné en 2026-27) can feed the analysis behind Computational linear algebra for future simulation specialist work.

The MSc Computational Science and Engineering catalogue pairs Computational linear algebra, Computational neurosciences: neuronal dynamics and Computational optimal transport (Pas donné en 2026-27) in Group 1. This pairing shows why an applicant without numerical mathematics and programming beyond introductory level would face a structural gap: the programme combines foundations and advanced application rather than rebuilding the missing base.

A coherent scientific-computing engineer direction emerges where Computational quantum physics, Computer simulation of physical systems I and Deep learning are treated as related evidence. Their shared place in Group 1 connects the stated programme focus, numerical methods, high-performance computing, simulation, modelling and data-driven scientific computation, with work that can be inspected after graduation.

Among the published choices for MSc Computational Science and Engineering are Digital epidemiology, Distributed intelligent systems (Pas donné en 2026-27) and Dynamical system theory for engineers (Cours biennal). Together they move from Digital epidemiology towards Dynamical system theory for engineers (Cours biennal), giving a project supervisor or employer a clearer signal than an undifferentiated list of electives.

The later academic value of Group 1 comes from combinations such as Dynamical system theory for engineers (Cours biennal), Environmental transport phenomena and Foundations of Data Science. For a prospective computational researcher, this part of MSc Computational Science and Engineering supports a defensible specialism while remaining inside the approved 120 ECTS structure.

In MSc Computational Science and Engineering, Game theory for multiagent decision-making, Geometric computing (Cours donné en alternance tous les deux ans ) and Hydrodynamics make the route towards scientific-computing engineer concrete. Their position in Group 1 joins Game theory for multiagent decision-making to Hydrodynamics, so the academic story is about a connected capability rather than a collection of fashionable titles.

The Group 1 sequence contains Hydrodynamics, Image processing I and Image processing II. For MSc Computational Science and Engineering, that sequence turns numerical methods, high-performance computing, simulation, modelling and data-driven scientific computation into assessed work and exposes whether an applicant’s earlier study reaches the level expected for simulation specialist problems.

A student shaping MSc Computational Science and Engineering around computational researcher work can read Kinetic and non-equilibrium conservation laws, Large-scale data science for real-world data and Learning theory (Pas donné en 2026-27) as one evidence chain. Kinetic and non-equilibrium conservation laws supplies one part of the method, while Learning theory (Pas donné en 2026-27) shows the later application or project context recorded in Group 1.

EPFL places Linear models, Mathematical modelling of behavior and Mathematics of data: from theory to computation within Group 1 for this programme. The combination matters because MSc Computational Science and Engineering is built around numerical methods, high-performance computing, simulation, modelling and data-driven scientific computation; isolated familiarity with only one topic would not reproduce that breadth.

The published path from Mathematics of data: from theory to computation to Molecular quantum dynamics passes through Mathematics of data: from theory to computation, Model predictive control and Molecular quantum dynamics. In a simulation specialist portfolio, those assessed components can document technique, implementation and judgement instead of relying on the degree name as evidence.

For MSc Computational Science and Engineering, the cluster Multiscale modelling in mechanics, Multivariable control and Nonlinear analysis of structures sits under Group 1. It links the programme’s numerical methods, high-performance computing, simulation, modelling and data-driven scientific computation direction to the kind of decisions a computational researcher must explain, test and defend in a project.

The curriculum does not present Numerical approximation of PDEs in isolation: nearby choices include Numerical approximation of PDEs, Numerical flow simulation and Numerical integration of dynamical systems. That neighbourhood distinguishes MSc Computational Science and Engineering from a broad conversion degree and rewards prior preparation aligned with numerical methods, high-performance computing, simulation, modelling and data-driven scientific computation.

Within Group 1, EPFL lists Numerical integration of dynamical systems, Numerical integration of stochastic differential equations and Numerics for fluids, structures & electromagnetics (Pas donné en 2026-27 *** Cours donné en alternance tous les deux ans.). The useful outcome is not exposure to three labels; it is an assessed route in which Numerical integration of dynamical systems can feed the analysis behind Numerics for fluids, structures & electromagnetics (Pas donné en 2026-27 *** Cours donné en alternance tous les deux ans.) for future simulation specialist work.

The MSc Computational Science and Engineering catalogue pairs Optimization on manifolds (Cours donné en alternance tous les deux ans.), Principles and applications of systems biology and Quantitative financial risk management in Group 1. This pairing shows why an applicant without numerical mathematics and programming beyond introductory level would face a structural gap: the programme combines foundations and advanced application rather than rebuilding the missing base.

A coherent scientific-computing engineer direction emerges where Quantum computing, Randomized matrix computations (Cours donné en alternance tous les deux ans) and Reinforcement learning are treated as related evidence. Their shared place in Group 1 connects the stated programme focus, numerical methods, high-performance computing, simulation, modelling and data-driven scientific computation, with work that can be inspected after graduation.

Among the published choices for MSc Computational Science and Engineering are Reinforcement learning, Structural biology and Topics in machine learning (Pas donné en 2026-27). Together they move from Reinforcement learning towards Topics in machine learning (Pas donné en 2026-27), giving a project supervisor or employer a clearer signal than an undifferentiated list of electives.

The later academic value of Group 1 comes from combinations such as Turbulence, Understanding advanced molecular simulation and Projet de master en science et ingénierie computationelles. For a prospective computational researcher, this part of MSc Computational Science and Engineering supports a defensible specialism while remaining inside the approved 120 ECTS structure.

The Swiss migration authority gives a third-country MSc Computational Science and Engineering graduate six months to seek work matching the qualification. A scientific-computing engineer offer still needs the applicable authority process; graduation doesn’t turn the search period into an automatic permit.

The federal guidance for foreign workers also leaves the permit with the employer and authorities. For a computational researcher, the vacancy, prior experience and language ability therefore matter alongside the MSc Computational Science and Engineering portfolio.

Who is EPFL MSc Computational Science and Engineering for?

MSc Computational Science and Engineering fits an applicant whose earlier work already supports scientific-computing engineer methods and a project idea for simulation specialist. Evidence from Parallel and high-performance computing and Linear models can make that preparation concrete. This isn't a conversion degree: the transcript must carry the foundation before enrolment, not promise to acquire it later.

The positive fit connects earlier evidence, a reason for choosing Hydrodynamics and a final project a future computational researcher supervisor can inspect. Admission is one checkpoint in that line, not the purpose of assembling it.

The weak fit combines limited preparation for Numerics for fluids, structures with dependence on immediate earnings or a career aim outside scientific-computing engineer work. EPFL’s one-choice rule then favours a neighbouring degree whose academic starting point matches the transcript more closely.

What does the EPFL MSc Computational Science and Engineering curriculum contain?

The official 2026 to 27 study plan publishes 64 named courses, projects and options for MSc Computational Science and Engineering. The table keeps every item once. Students complete an approved 120 ECTS route, so the credits shown across the whole option catalogue are not added together.

The note “Group 1” applies to 49 components in this table.

• Complete the approved 120 ECTS full-time master's structure
• Follow mandatory blocks and any specialisation or orientation conditions
• Use prerequisites and semester availability before fixing electives
• Complete the programme's semester project and master's project requirements
• Treat the official regulations and study plan as legally binding
• Recheck the live plan because options may not run every academic year

The table is the reference inventory for the current catalogue, not a personal credit total. The approved route determines which compulsory, optional and project components count towards graduation.

Availability notes and prerequisites matter before an elective is fixed. A named option can belong to the published plan without running in every year or fitting every specialisation timetable.

A coherent study plan moves from prior preparation to advanced depth and one inspectable final project. It shouldn’t be assembled by adding every credit shown in the option catalogue.

Should an Indian applicant shortlist EPFL MSc Computational Science and Engineering?

Shortlist MSc Computational Science and Engineering when the transcript can support CSE project I and the proposed project has a defensible scientific-computing engineer direction. That academic match matters more than the EPFL name because only one EPFL master’s application can be submitted during the year.

The strongest case for MSc Computational Science and Engineering is a progression from the preparation behind Algorithms II to a final output a simulation specialist supervisor could assess. EPFL doesn't publish a programme-level placement rate, so inspectable work carries more weight than a salary assumption.

The case against this choice is a transcript that cannot support advanced work such as Randomized matrix computations (Cours. Competitive review won't reconstruct the missing base, while the INR 68.60 lakh plan and first-six-month work restriction make that mismatch costly.

Sources

These sources support the programme, admission, cost, experience and immigration information used on this page.

Sources checked on September 29, 2026. The next intake covered here is September 2027; closes 31 March 2027.