AI and Data Science MSc

This course is in clearing

Overview

Course options

Start date

MSc

AI and Data Science MSc, home applicant, full time

  • Home Applicant
  • Full time, 1/2 years
  • Pound 11340 per year. Year 2 industrial placement fee £3,500

AI and Data Science MSc, home applicant, part time

  • Home Applicant
  • Part time
  • Pound 1890 per 30 credit module

AI and Data Science MSc, international applicant, full time

  • International Applicant
  • Full time, 1/2 years
  • Pound 16740 per year. Year 2 Industrial Placement Fee - £3,500

MSc with Placement Year

AI and Data Science MSc, home applicant, full time

  • Home Applicant
  • Full time, 1/2 years
  • Pound 11340 per year. Year 2 Industrial Placement Fee - £3,500

What makes this course different

Expert software

Open Source software tools which are widely used in the field of data science to extract value from data.

In-depth learning

Gain an integrated and critically aware understanding of AI and data science and their applications.

Your career pathway

This conversion course will prepare you for a new or enhanced career in AI and Data Science.

Course modules

NOTE: Modules are subject to change. For those studying part time courses the modules may vary.

Download course specification

What we're researching

At the University of East London, School of Architecture, Computing and Engineering, our students and academics are working in different research groups including Smart Cities, Resilient Built Environment, Culture and Environment, Intelligent Technologies, Research Enhanced Learning & Teaching. 

Please visit our Research section to find out more.

Your future career

With your qualification, you’ll be equipped to launch or enhance a career in the artificial intelligence and/or data science sectors, as well as giving them the skills they need to work in related consultancy or to start a new tech business.

Job roles

 Career opportunities include (but are not limited to):

  • Applied Artificial Intelligence and Data Science professional
  • Graduate analyst
  • Business analyst
  • Business Intelligence Developer
  • (Big) Data engineer/analyst/scientist/architect
  • Machine learning developer
  • Software engineer/architect
  • Data mining expert
  • Technology consultant
  • Digital marketing analyst or manager

You may even want to start a new tech business. Explore the different career options you can pursue with this degree and see the median salaries of the sector on our Career Coach portal.

How we support your career ambitions

We offer dedicated careers support, and further opportunities to thrive, such as volunteering and industry networking. Our courses are created in collaboration with employers and industry to ensure they accurately reflect the real-life practices of your future career and provide you with the essential skills needed. You can focus on building interpersonal skills through group work and benefit from our investment in the latest cutting-edge technologies and facilities.

Career Zone

Our dedicated and award-winning team provide you with careers and employability resources, including:

  • Online jobs board for internships, placements, graduate opportunities, flexible part-time work.
  • Mentoring programmes for insight with industry experts 
  • 1-2-1 career coaching services 
  • Careers workshops and employer events 
  • Learning pathways to gain new skills and industry insight

Mental Wealth programme

Our Professional Fitness and Mental Wealth programme which issues you with a Careers Passport to track the skills you’ve mastered. Some of these are externally validated by corporations like Amazon and Microsoft.

Our Mental Wealth programme

We are careers first

Our teaching methods and geographical location put us right up top

  • Enterprise and entrepreneurship support 
  • We are ranked 6th for graduate start-ups 
  • Networking and visits to leading organisations 
  • Support in starting a new business, freelancing and self-employment 
  • London on our doorstep

How you'll learn

The course is taught through a series of face-to-face lectures, workshops, and lab-based learning as a way of securing a knowledge base. It uses holistic, experiential, and self-directed learning approaches as the basis for adult learning, as well as a problem-based learning approach as a way of addressing the complexity of situations in the real world.

Guided independent study

When not attending timetabled lectures, you will be expected to continue learning independently through self-study. This will involve reading articles and books, watching videos, undertaking research, working on individual and group projects as well as preparation of essays, reports and presentations and production of major self-directed projects. Your independent learning is supported by a range of fantastic, industry-standard facilities.  You’ll also have access to online resources, the library and Moodle.

Academic support

Our academic support team values course members as active learners with differing and valuable experiences. They provide the supervision needed to develop reflexive and reflective software engineering experts in professional settings. We also have a Student Hub which is the central point for students to access all services including academic support, and disability support, to mention a few.

Dedicated personal tutor

Our dedicated and specialist staff will support you throughout the course and you’ll be assigned to a personal tutor when you arrive to oversee. This is the member of staff, who will provide academic guidance, be a support throughout your time at UEL and who will show you how to make the best use of all the help and resources that we offer.

Workload

You will spend around 600 hours of timetabled learning and teaching activities during the year. This includes practical sessions, seminars, and reflection on work-based practice to enforce learning and professional skills.

The approximate percentages for this course are:

  • Year 1 -  scheduled teaching:: 48 hours. Workshops/practical: 72 hours. Guided independent study: 480 hours, per semester.
  • Year 2 (optional): 300 hours industrial placement

How you'll be assessed

 

Knowledge is assessed by:

  • Tutorials (in class and at the end of the year)
  • Individual/group projects, coursework and reports
  • Group assessments
  • Presentations
  • Dissertation

 

Thinking skills are assessed by:

  • Coursework
  • All assessment tasks set (especially related to critical thinking)
  • Use of appropriate problem-solving skills
  • Project work
     

Practical skills are assessed by:

  • Assessment tasks requiring the use of general and specialised IT applications
  • Demonstration of projects/tasks
  • Use of tools in designing algorithms
  • Practical reports
     

Skills for life and work (general skills) are assessed by:

  • Evidence of group and team working
  • Ability to work under time constraints
  • Project work
  • Group work 
     

The approximate percentages for this course are:

  • Year 1: 75 per cent coursework, 25 per cent exams

You’ll always receive detailed feedback outlining your strengths and how you can improve. We aim to provide feedback on assessments within 10 working days. 

Campus and facilities

Docklands Campus, London, E16 2RD