Close icon

Personalise what you see on this page.

Choose from the options below. We'll show you information based on your current location as default.

I'M FROM

  • United States
Please select so we can show the most relevant content.

LIVING IN

  • United States
Please select so we can show the most relevant content.

LOOKING FOR

  • Undergraduate courses
Please select so we can show the most relevant content.
Viewing as a student from United States living in United States interested in Undergraduate courses

Course options

  • Qualification

    MSc - Master of Science

  • Location

    Clifton Campus

  • Study mode

    Full time

  • Start date

    26-SEP-22

  • Duration

    1 year

Course summary

This course covers the fundamentals of Data Science including Big Data infrastructure, AI and statistical analysis and the mining of data. Development of your understanding of deriving value from the data analytics functions is also a focus of this course.

You will learn how to support organisations in improving their data capture, management and analysis processes with a focus on efficiency and profit, whilst adhering to the current highest ethical standards.

Why study this course at NTU?

This course builds on NTU’s experience of upskilling major employers in the region in the areas of data analytics and data science. Our previous experience in work-based learning prepared graduates to take innovative roles in the rapidly changing Data Science industry.

Studying takes place in our purpose-built ISTeC building, where you will have access to our specialist Data Science teaching facility and 3D imagery lab.

How you’re taught

You’ll gain a comprehensive understanding of software implementation, emerging technologies and large-scale computer applications. You will develop the knowledge and skills to analyse and plan a wide range of computer systems projects and carry out research in a range of advanced computing applications.

The course offers an excellent combination of theoretical studies and practical experience through coursework assignments, software development and group projects culminating in a significant and practical Masters project individually tailored to meet your career aspirations.

You will learn through:

  • Lectures
  • Guided reading supported by the University's virtual learning portal
  • Workshops and laboratories
  • Seminars
  • Case studies and project work

You will be assessed by a variety of methods including:

  • Research project
  • Written assignment
  • Case studies
  • Oral presentations
  • Coursework reports

Your career development

The industry-focused nature of this course will ensure that you stand out from the crowd when it comes to job applications and pursuing your future career. Nottingham Trent University graduates are widely respected amongst employers and our students are perceived as having the competitive edge due to the hands-on approach of our teaching.

The main objective of the course is to address the Data Science industry skills needs by producing talented graduates from diverse backgrounds. A consortium of business partners pledged to support the MSc program via offering co-development, delivery and placement opportunities.

Tuition fees

Students living in United States
(international fees)

£ 15,850per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

Nottingham Trent University

  • University League Table

    45th

  • Campus address

    Nottingham Trent University, 50 Shakespeare Street, Nottingham, Nottinghamshire, NG1 4FQ, England

With students and staff from over 160 countries, cultural diversity is a key part of the university's identity.
Support from the International Development Office, country advisors, International Student Support team, Global Lounge, NTU Faith and employability specialists.
NTU was the first UK university to receive a Purple Flag award for entertainment, diversity and safety.

Subject rankings

  • Subject ranking

    16th out of 24 12

  • Entry standards

    / Max 151
    129 81%

    10th

    5
  • Graduate prospects

    / Max 100
    n/a

  • Student satisfaction

    / Max 5
    3.92 78%

    11th

    5

Is this page useful?

Yes No

Sorry about that...

HOW CAN WE IMPROVE IT?

SUBMIT

Thanks for your feedback!