MEng Mechanical Engineering
Rheinfeld Technical University · Stuttgart, Germany · QS #98
Tuition
€3,000/yr
Duration
24 months
Intakes
Oct, Apr
English
IELTS 6.5
Why this course matches you.
Your BSc in Statistics (CGPA 3.6/4.0) exceeds Rheinfeld Technical University's 2:1 requirement, and your Python and SQL project work maps directly to the programming prerequisite. Your IELTS 7.0 clears the bar comfortably. The one gap: no formal machine-learning coursework — this programme assumes none, which is exactly why it ranks above similar courses for you. Applicants with your profile received offers here in 84% of cases last cycle.
Scores are estimates based on published requirements and historical outcomes — never a guarantee.
Overview
This conversion-friendly Master's takes students from strong quantitative foundations to job-ready professionals in 24 months. You'll learn through labs, not just lectures, with class sizes capped and teaching staff active in research or industry — finishing with a substantial dissertation or capstone project, often completed in partnership with employers in Stuttgart's growing industry corridor.
Entry requirements
- Bachelor's degree at 2:1 (or international equivalent — e.g. CGPA 3.3/4.0, 60%+ India, 3.0/4.0 Nigeria) in a related quantitative or relevant subject.
- Evidence of relevant coursework, projects or professional exposure aligned to Engineering.
- English: IELTS 6.5 overall (no band below 6.0). TOEFL, PTE and Duolingo equivalents accepted. Pre-sessional English route available.
- Documents: transcript, degree certificate (or expected-completion letter), CV, one academic reference, 500-word statement of purpose.
- No GRE/GMAT required.
Fees & funding
Global Excellence Scholarship — £5,000 tuition reduction, automatic consideration for applicants with first-class equivalent grades. South Asia & Africa Merit Award — £3,000, essay-based, deadline 31 May.
Intakes & duration
Oct, Apr intakes are open — apply early for scholarship consideration. This course runs 24 months, full-time, including the final dissertation or capstone project.
Modules
Core
- • Statistical Inference & Modelling
- • Programming & Data Fundamentals
- • Databases & Systems Design
- • Ethics, Privacy & Professional Practice
Options & capstone
- • Advanced Applications (choose one track)
- • Data Visualisation & Storytelling
- • Industry-partnered Capstone Project
Career outcomes
Graduates move into roles across analytics, engineering and strategy. Recent graduate employers span major national employers, consultancies and fast-growing regional startups. The course draws on strong industry ties and a dedicated careers service running sector-specific recruitment fairs.
94%
Employed or further study, 15mo
£38k
Median starting salary
120+
Industry project partners
🇩🇪 Your route to working in Germany.
As a full-time student you'll apply for a Student visa covering the full course length. After graduating, most of our destinations offer a post-study work route allowing you to live and work with no sponsorship needed for a fixed period — often opening a path toward a skilled worker visa and eventual settlement. Full details on our Germany guide →
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