COVENTRY UNIVERSITY · UNITED KINGDOM
MSc Data Science and Analytics
Master's · Taught in en
At a glance
12 mo
Duration
6.5
IELTS
€19k
Tuition / yr
en
Language
Master's
Level
- MScDegree Level
- 12 MonthsDuration
- UKCountry
- Full-timeAttendance
- GBP 16,500International Tuition Fee
- IELTS 6.5English Requirement
This MSc Data Science and Analytics course is designed to equip you with the advanced skills and knowledge needed to thrive in the rapidly growing field of data science. You will learn to collect, analyse, interpret, and visualise complex datasets, using cutting-edge tools and techniques. The curriculum focuses on both the theoretical underpinnings and practical applications of data science and analytics, preparing you for a variety of roles in diverse industries. The course emphasizes hands-on experience with real-world data, enabling you to develop a strong portfolio of projects. You'll gain expertise in areas such as machine learning, statistical modelling, big data technologies, and data visualisation, all while developing critical thinking and problem-solving abilities essential for a data scientist. Upon completion of this programme, you will be well-prepared to pursue a career in data analysis, data science, business intelligence, or related fields, contributing to data-driven decision-making within organisations.
Curriculum
The curriculum is structured to provide a comprehensive understanding of data science and analytics, covering key theoretical concepts and practical applications. It is typically delivered over one academic year (full-time).
- Year 1
- Introduction to Data Science and AnalyticsDAA001
- Statistical Analysis and ModellingSTA002
- Machine Learning TechniquesMLN003
- Big Data Technologies and PlatformsBIG004
- Data Visualisation and CommunicationVIS005
- Research Methods and ProjectRMP006
Careers
Graduates of the MSc Data Science and Analytics programme are well-equipped for a range of in-demand roles across various sectors. The skills acquired are highly transferable and sought after by employers.
- Data Scientist
- Data Analyst
- Business Intelligence Analyst
- Machine Learning Engineer
- Data Engineer
- Analytics Consultant
Entry requirements
Bachelor's DegreeA UK bachelor's degree with honours (minimum 2:2) or equivalent. Applicants with a strong academic profile and relevant experience may also be considered.
IELTS6.5 overall
All international qualifications will be considered on a case-by-case basis. English language proficiency is required for all applicants whose first language is not English.
Fees
Tuition (international)£16,500 per year
Tuition (home)£9,250 per year
LivingEstimated £11,350 per year
Tuition fees are subject to change. Please refer to the university's official fee schedule for the most up-to-date information. Living cost estimates are indicative.
How to apply
1. Complete the Online Application FormVisit the Coventry University website and navigate to the course page. Click on the 'Apply Now' button and complete the online application form, providing all requested personal, academic, and contact information.
2. Upload Supporting DocumentsYou will be required to upload scanned copies of your academic transcripts, degree certificates, proof of English language proficiency (e.g., IELTS results), and a copy of your passport.
3. Application ReviewYour application will be reviewed by the admissions team. This may involve assessing your academic qualifications and checking if you meet the entry requirements.
4. Receive an OfferIf successful, you will receive an offer letter from the university. This may be a conditional or unconditional offer. Follow the instructions in the offer letter to accept or decline.
5. Accept the Offer and Pay DepositIf you accept the offer, you may be required to pay a deposit towards your tuition fees to secure your place. Details will be provided in your offer letter.
6. Apply for Visa and Prepare for ArrivalOnce your offer is confirmed, you can begin the process of applying for a student visa and making arrangements for your travel and accommodation.