M.Sc Business Analytics at University Of Warwick, Coventry Fees, Entry Requirement & Application Deadline

Master of Science [M.Sc] [Business Analytics] From University of Warwick

Coventry, EnglandLocation
UniversitySchool type
Estd1965established year
19649enrollment
Public
Partner [4 Courses]
7.2/10

Master of Science [M.Sc] (Business Analytics)

1 year
Full Time
On Campus
7.7 1 Review | Ranked #104 out of 1502 by THE Global Ranking 2023

$44,224 /Yr

£34,550 /Yr
12 Students Applied
8 Students Admitted
  • The Master of Science in Business Analytics program at the University of Warwick is a duration of 1-year.
  • The MSc in Business Analytics program is a full-time or on-campus program.
  • This program is to learn how to gain insights from large data sets using statistical methods, optimization techniques, and predictive models, and apply these to business problems.
  • You will cover a balance of descriptive, predictive, and prescriptive analytics, involving visualisation (Tableau), forecasting and data mining techniques, and optimisation. 
  • Ranked 12th in the world and 3rd in the UK in the QS University Rankings 2022 for MSc Business Analytics, the course features a broad range of theory and applications in analytics.
  • Conduct an external consultancy project with a real client, undertake individual academic research, or put your learnings into practice with the applied Business in Practice module 
  • Students gain an understanding of the role of business analytics within an organization, improve their business acumen and communication skills, and get some commercial research experience for their CV through their project. 
  • The class size for this course is around 180 students.
  • Students have job opportunities in the following companies:
    • British Airways 
    • Capgemini
    • IBM
    • Proctor and Gamble
    • Tesco
    • Virgin Media

Important Dates

EventApplication Date
Application Deadline For 2025 Intake Aug 2, 2024

Tuition Fees

Year1st Year Fees
Tuition Fees$44224 (GBP 34550)

Other Expenses

HeadAvg Cost Per Year
Living Expenses$11045 (GBP 8629)
Total Cost$11045 (GBP 8629)

Cost of the program is 33000 Euros


Eligibility & Entry Requirement

MS in Business Analytics
Course Level PG Degree
Acceptance Rate 14%
International Students 9500
Course Start from 25 September 2023
Graduation
  • Students must have upper second-class honours at the undergraduate level in a relevant subject from a recognized university.
  • Students also require degrees including economics, business, engineering, psychology, geography, sociology, and politics for this program.
  • Students require to have strong numeracy and IT statistical ability.
  • Students do not require a GMAT or GRE score but may request one to verify specific competencies.
TOEFL iBT Minimum of 100 scores required
PTE Minimum 70 scores are required (With 51+ in every section.)
IELTS Minimum 7.0 scores required (All four language elements have to be scored 6.0+, with a maximum of two language components at lowest level 6.0 or 6.5.)
GMAT Minimum 700 scores required
Documents Required
  • Official academic transcripts.
  • English language proficiency score.
  • Statement of Purpose/Personal Statement.
  • Letters of Recommendation.
Offer Acceptance time Within 40-45 days
Applications Deadline 2 August 2023
Application Fee 60 GBP (6,021 INR)
Annual Tuition Fees £ 33000 (33,11,880 INR)

Scores Required

6.5 / 9

Avg. Score in

IELTS

92 / 120

Avg. Score in

TOEFL

62 / 90

Avg. Score in

PTE


Required Document List

Following are the required Documents:

  • Resume/CV - This provides a summary of a student's experience and skills.
  • Higher Secondary School Certificate - The certificate provided by the education board after completion of the Higher secondary education.
  • Statement of marks - The marks statement provided by the education board.
  • Letter of Recommendation - This shows who recommended the student to pursue the degree.
  • Statement of Purpose - This is an essay or any written statement written by the student while applying.
  • English Language Requirement - This shows the test score of English Proficiency Exams such as IELTS, TOFEL, PTE, etc.

Career and Placement after Course

After this program, students have the following job opportunities:

  • Management Analyst
  • Operations Research Analyst
  • Marketing Analyst
  • Data Scientist 

Scholarship Grants & Financial Aids

NameScholarship Per StudentLevel of StudyType
Hornby ScholarshipsScholarship per student$ 24,479/Yr$19,124Level Of StudyMasterTypeCollege-Specific
Chevening ScholarshipScholarship per studentVariable AmountLevel Of StudyMasterTypeMerit-Based
Commonwealth Shared ScholarshipsScholarship per studentVariable AmountLevel Of StudyMasterTypeMerit-Based
JN Tata Endowment ScholarshipScholarship per studentVariable AmountLevel Of StudyDoctorateTypeMerit-Based
University of Nottingham ScholarshipsScholarship per studentVariable AmountLevel Of StudyBachelorTypeCollege-Specific
Commonwealth ScholarshipScholarship per studentVariable AmountLevel Of StudyDoctorateTypeMerit-Based


Programs Comparison

application---
why to opt?

You will cover a balance of descriptive, predictive, and prescriptive analytics, involving visualisation (Tableau), forecasting and data mining techniques, and optimisation. Gain a cross-disciplinary training in business models, quantitative methods and data science, and prepare for a future career working in complex data-driven environments.

You will also further develop your programming skills in SQL, R, and Python, and gain guidance in obtaining optional certification as Associate Certified Analytics Professional. This globally recognised certification is offered by the INFORMS (USA) and the Operational Research Society (UK), and the required knowledge to pass the certification exam is closely aligned with the core content of this course.


This course is for graduates who want to pursue a career in business analytics.

How can companies use ‘big data’ to gain business insight? This course will teach you how to convert data into knowledge. Get hands-on practical experience using the latest business intelligence software and interpreting real data.

This course includes guest lectures from industry experts, and a unit co-delivered by a specialist from IBM.


This course aims to help you become a highly trained analyst, capable of interpreting data to find new patterns and relationships, informing business decisions accordingly, so as to drive growth and successful business performance.

During this course you will have the chance to:

Develop quantitative and data mining skills to solve business problems.Learn to generate value from Big Data, which cannot be analysed using traditional techniques.Apply theory to practical situations through case studies and projects from industry.Gain hands-on experience of up-to-date technology including SPSS and NVivo, with access to multiple data resources.


exam scoresIELTS - 6.5/9PTE - 62/90TOEFL - 92/120GRE - 300/340IELTS - 6.5/9PTE - 62/90TOEFL - 90/120IELTS - 6/9TOEFL - 79/120
Admission Criteria/Better to Have

2.1 achieved at Undergraduate level 


  • Bachelor degree with a final overall result of at least First Class
  • Your degree can be in any discipline but you must have studied a subject with high quantitative content. You will be better suited to this course if you have studied business or management, or studied a subject with high quantitative content, such as:
  • mathematics/statistics
  • computer science
  • engineering
  • physics
  • a quantitative social science

-
cost to studyTotal Cost (Tuition + Living) -USD 42240Total Cost (Tuition + Living) -USD 43520Total Cost (Tuition + Living) -USD 29308.16
application datesAug 2, 2024 (Application Deadline For 2025 Intake)
Jul 31, 2024 (Application Deadline For 2025 Intake)
Jan 31, 2025 (Equal Consideration Deadline For 2025 Intake)
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50 Reviews Found

Top ranking school for this particular course in the world. Great reputation in the corporate world within the country. Top ranking business school in the world. Top 5 in the uk.

academic: 9/10
faculty: 8/10
infrastructure: 10/10
accomodation: 9/10
placement: 10/10

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