MSc in Computational and Software Techniques in Engineering-Computational Intelligence for Data Analytics option

Building on the foundation of the MSc Computational and Software Techniques in Engineering, this programme gives a direction to the postgraduate research and provides students with relevant skills in computer science, artificial intelligence, and data analytics, which are important for developing and evaluating complex algorithms in a fact-based environment. 

The programme starts with core modules that lay the foundation, then it progresses to special modules that cover technologies, such as high-performance and cloud computing, as well as machine learning and data analytics algorithm development.

Students learn through structured lectures, tutorials, and computer-based workshops, which include taught modules, a group project, and an individual research project. Assessment includes compulsory modules, a group project where students fix a practical problem, and a personal research project linked to real research or industrial partnerships.

Cranfield University is a special postgraduate institution known for its strong links with industry and also known for its focus on practical and applied research. It specialises in fields such as aerospace, defence, energy, environment, manufacturing, and management. The university has excellent student support, which ensures close engagement for its students.

The University is celebrated for its research excellence and has received the Queen's Anniversary Prize six times for its groundbreaking work. Cranfield provides a professional setting with unique facilities, including its airport and a laboratory that offers an excellent environment for advanced study and research, and it also works closely with businesses and governments to deliver impactful solutions.

Applicants are required to submit a personal statement, an academic or employer reference, and a detailed research proposal, with an optional CV, to show that they are eligible for the course.

Grade Requirements: 

• Applicants need a first or second class UK honours degree in a related subject such as aeronautical, mechanical, electrical engineering, or computer science. 
• Candidates with a lower second-class degree may be considered if they have relevant work experience or other qualifications.

English Proficiency: 

• Candidates need an overall score of 6.5 in IELTS with no component score below 5.5.
• PTE Academic or TOEFL are also accepted.

For the academic year, the tuition fee for the full-time MSc in Computational and Software Techniques in Engineering - Computational Intelligence for Data Analytics option is £27,910 for international students.

Cranfield University offers several scholarship options for international students, including Chevening Scholarships, funded by the UK Government, which cover Master's tuition fees (up to £18,000), travel, visa fees, and living allowance for citizens of over 140 eligible countries with 2+ years work experience and a UK university offer; Commonwealth Scholarships, funded by the UK FCDO, which cover tuition fees, living allowances, and return airfare for citizens of Commonwealth countries with a first degree of upper second-class honours standard; GREAT Scholarships, a joint initiative by the British Council and UK Government, offering £10,000+ towards tuition fees for citizens and residents of 18 participating countries with an undergraduate degree; Cranfield University Scholarships, with values up to £15,000 or 15-20% fee reduction, awarded to students with strong academic aptitude and ability for their chosen subject; and the Lendwise Postgraduate Student Loan, a private loan up to £100,000 with fixed interest rates and a grace period during study, primarily for UK/EU residents.

Graduates from this programme are prepared to become:

• Data Scientist
• Machine Learning Engineer
• Business Intelligence Analyst
• Data Analyst
• Financial Analyst

Admission to the MSc Computational and Software Techniques in Engineering programme is applied directly through the university's portal. We at AHZ can assist you with your application process.