M.Sc Data Science at University Of Nottingham, Nottingham Fees, Entry Requirement & Application Deadline

Master of Science [M.Sc] [Data Science] From University of Nottingham

Nottingham, EnglandLocation
UniversitySchool type
Estd1881established year
29431enrollment
Public
Partner [84 Courses]
7.2/10

Master of Science [M.Sc] (Data Science)

1 year
Full Time
On Campus

$37,180 /Yr

£28,600 /Yr
1 Students Applied
1 Students Admitted
  • Master of Science in Data Science at the University of Nottingham is a 1-year program.
  • It is an on-campus program offered on a full-time basis.
  • The program helps to develop knowledge in key topics such as statistical modeling, machine learning, and advanced algorithms.
  • Students will study a total of 180 credits, split across 120 credits of compulsory and optional modules plus a 60-credit individual project.
  • Teaching is typically delivered by professors, associates, and assistant professors. 
  • Modules are assessed using a variety of individual assessment types which are weighted to calculate their final mark for each module. In many modules, assessments are mixed with 75/25 or 25/75 coursework/exam.
  • In 2019/2020 class sizes ranged from 25 to 110 students.
  • There are three levels to the award which range from 10-50% off the tuition fees due to Excellence in Computer Science scholarships.
  • About 96.4% of undergraduates from the School of Computer Science secured graduate-level employment or further study within 15 months of graduation.
  • The average annual salary for these graduates was 39875 USD.

Important Dates

EventApplication Date
Course Start Date For September 2025 Intake Sep 22, 2025
Course Start Date For September 2024 Intake Sep 23, 2024
Application Deadline For September 2024 Intake Aug 5, 2024
Application Deadline For September 2025 Intake Aug 4, 2025

Tuition Fees

Year1st Year Fees
Tuition Fees$37180 (GBP 28600)

Other Expenses

HeadAvg Cost Per Year
Room and Board$9056 (GBP 6966)
Total Cost$9056 (GBP 6966)

Cost of the program is 27200 Euros


Eligibility & Entry Requirement

Acceptance Rate 11%
Graduation
  • Students must have a 2:1 (or international equivalent) with an affinity for programming and/or advanced statistics evidenced through prior study or practical experience detailed in the application.

  • Students from other fields, with strong mathematics and/or computer science background, will be considered with a 60% average mark.

  • GPA – 3.0 out of 4.0

English Language Proficiency Score TOEFL iBT score - 90 | IELTS score - 6.5 | Duolingo score - 105 | PTE score - 71
Documents Required
  • Academic transcript (certificate provided by the education board after completion of the education)
  • Personal statement ( essay or any written statement written by the student while applying)
  • Reference letters (This shows who recommended the student to pursue the degree)
  • CV (if applicable)
  • Copy of passport/visa 
Offer Acceptance time within six weeks
Applications Deadline 4 August 2023
Application Fee GBP 50 (5,070 INR)
Annual Tuition Fees GBP 27,200 (27,58,080 INR)

Scores Required

6.0 / 9

Avg. Score in

IELTS

80 / 120

Avg. Score in

TOEFL

65 / 90

Avg. Score in

PTE


Required Document List

  • Official transcripts of all previous education
  • Resume
  • English language proficiency

Similar Programs

ProgramImportant DateTotal FeesMedian Exams ScoreAction
Application Deadline For September 2024 Intake (5th Aug 2024)
Application Deadline For September 2025 Intake (4th Aug 2025)
USD 34,125 /Yr
GBP 26,250 /Yr
  • IELTS: 6.0
  • TOEFL: 80
  • PTE: 65
Application Deadline For 2024 Intake (31st Jul 2024)
USD 28,730 /Yr
GBP 22,100 /Yr
  • TOEFL: 87
  • IELTS: 6.5
  • PTE: 58
Application Deadline For 2025 Intake (31st Jul 2024)
USD 36,270 /Yr
GBP 27,900 /Yr
  • TOEFL: 87
  • IELTS: 6.5
  • PTE: 60
Stage 1 Application Deadline (14th Dec 2024)
Stage 2 Application Deadline (1st Mar 2025)
Stage 3 Application Deadline (19th Apr 2025)
Final Application Deadline (27th Jun 2025)
USD 39,325 /Yr
GBP 30,250 /Yr
  • IELTS: 6.5
  • TOEFL: 92
  • PTE: 64

Career and Placement after Course

100% of postgraduate taught students from the School of Computer Science secured graduate level employment or further graduate study within 15 months of graduation. The average annual salary for these graduates was £30,100

Scholarship Grants & Financial Aids

NameScholarship Per StudentLevel of StudyType
South Asia Postgraduate Excellence ScholarshipScholarship per studentVariable AmountLevel Of StudyMasterTypeEasy-to-Apply
Nottingham Developing Solutions ScholarshipScholarship per studentVariable AmountLevel Of StudyMasterTypeCollege-Specific
GREAT ScholarshipScholarship per student$ 13,000/Yr$10,000Level Of StudyMasterTypeCollege-Specific
BrokerFish International Student ScholarshipScholarship per student$ 1,300/Yr$1,000Level Of StudyBachelorTypeMerit-Based
UWL International Ambassador ScholarshipScholarship per student$ 6,500/Yr$5,000Level Of StudyBachelorTypeCollege-Specific
ASID Foundation Legacy ScholarshipsScholarship per student$ 5,200/Yr$4,000Level Of StudyBachelorTypeMerit-Based

College Student Profiles

Filter By: admitted

Programs Comparison

ranking-# 34 for Data Science and Analytics by QS World University 2024
-# 201 for Mathematics by QS World University 2024
# 137 for Mathematics by Times Higher Education 2023
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application-----
why to opt?

Big data is playing an increasingly important role in our society. The need for expert and ethically-informed data analysis is in high demand across many industries. This course gives you the professional and problem-solving skills for a range of high-level careers.

This interdisciplinary masters will be taught by the Schools of Computer Science and Mathematical Sciences. The academics conduct their own international-quality research. They use this to teach you the latest techniques and technologies in this field.

Develop your knowledge in key topics such as statistical modelling, machine learning and advanced algorithms. This course offers a range of flexible optional modules. This allows you to study a topic that interests you.

You will undertake an individual research project in an area of your choice. This can be with industry partners or with one of our expert research groups. Past projects have included:

Development of location-based service for education
UK precipitation forecasting
The effect of virtual audiences on music performance anxiet


The Master of Data Science (MDS) teaches you how to explore data and discover its potential – how to find innovative solutions to real problems in science, business and government, from technology start-ups to global organisations. With a degree in science, engineering, arts or computing, you can pursue a Master of Data Science, gaining skills in data management, data analytics and data processing – skills needed in this fast-growing field.


This course will equip students with a theoretical understanding and practical experience of applying methods drawn from data science and analytics. You will develop a range of in-demand skills for extracting and handling ‘big data’ and applying modelling tools to help businesses and government organisations make better decisions.

On completion of the course, you will be well placed to progress into a variety of roles in data-intensive industries or a related research career.

This one-year degree falls under the umbrella of the Data Science Academy (DSA), run by the School of Computer Science and Informatics, in partnership with the School of Mathematics. You will benefit from the shared knowledge and skills of both Schools. However, your degree will still be run by the School of Mathematics. 


  • Designed for those wanting to work with and derive meaning from data, but without prior experience of programming
  • Explore a wide variety of applications to prepare you for a career working with data in a wide variety of sectors
  • Graduate with the capability to extract otherwise-hidden information within data and use it to make informed decisions, with the skills needed to enter a Data Scientist or Analyst role
  • Learn a variety of languages essential to Data Science, including R and Python
  • Work with data and gain the ability to perform statistical analysis to answer questions, and understand how to interpret and communicate results in the presence of bias and uncertainty.

Collecting, managing and analysing data is essential across many sectors – from finance to politics, and advertising to healthcare. This course will give you the advanced computation and mathematics skills you’ll need to work in the growing field of data science.

Designed in collaboration with industry and drawing on leading research, our Data Science MSc will prepare you for a career as a data scientist, data analyst, data engineer, data architect or a business analyst.

This programme uniquely addresses the fundamentals of data as well as the technical considerations needed to handle data with increasing scale and complexity.


exam scoresIELTS - 6.0/9PTE - 65/90TOEFL - 80/120IELTS - 6.5/9PTE - 58/90TOEFL - 79/120IELTS - 6.5/9PTE - 69/90TOEFL - 90/120Duolingo - 115/160IELTS - 6.5/9PTE - 67/90TOEFL - 90/120IELTS - 6.5/9PTE - 59/90TOEFL - 88/120
cost to studyTotal Cost (Tuition + Living) -USD 35360Total Cost (Tuition + Living) -USD 64350Total Cost (Tuition + Living) -USD 41172.3Total Cost (Tuition + Living) -USD 34450Total Cost (Tuition + Living) -USD 39894.4
Return on Investment/Average Package-#Average SalaryUSD 86448.7---
application datesAug 5, 2024 (Application Deadline For September 2024 Intake)
Aug 4, 2025 (Application Deadline For September 2025 Intake)
--Aug 30, 2024 (Application Deadline For 2024 Intake)
Mar 1, 2024 (Application Deadline For April 2024 Intake)
Apr 19, 2024 (Application Deadline For July 2024 Intake)
Jul 1, 2024 (Application Deadline For October 2024 Intake)
Admission Criteria/Better to Have
  • 2:1 (or international equivalent) with an affinity for programming and/or advanced statistics evidenced through prior study or practical experience detailed in the application. Graduates from other fields, with strong mathematics and/or computer science background will be considered with 60% average mark.

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A minimum of a 2:2 UK honours degree in computer science, electrical or electronic engineering, mathematics, physics, related disciplines with demonstrable exposure to programming and mathematics, or other alternative subjects related to data analysis, data science or informatics, or a recognised equivalent international qualification.


-Read Full ComparisonRead Full ComparisonRead Full ComparisonRead Full Comparison

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