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ASU London

Engineering with Artificial Intelligence

England, United Kingdom · UCAS TL04

  • Level

    Bachelor

  • Duration

    3 years

  • Campus

    ASU London Campus

  • Intl. Tuition

    Fee not confirmed

  • Intake

    September 2027

  • UCAS code

    TL04

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Course Overview

Engineering with Artificial Intelligence at ASU London in England, United Kingdom is a bachelor programme designed to give you both rigorous academic grounding and exposure to current practice in the field.

  • Study with academics who are active researchers and industry practitioners, with regular contact through seminars, tutorials, and project work.
  • Develop core knowledge in your first year before specialising through optional modules in later years tailored to your interests and career goals.
  • Build practical, transferable skills — analysis, communication, teamwork, and project delivery — that employers across sectors actively look for.
  • Access dedicated employability support including internships, placements, alumni mentoring, and a careers service that connects students to graduate roles.
  • Join a global student community with extracurricular societies, sports, volunteering, and study-abroad opportunities to round out your university experience.

Career snapshot (indicative)

Specialisation in AI and machine learning opens doors to roles as machine learning engineers, AI researchers, NLP scientists and quantitative analysts. High demand spans technology companies, autonomous vehicles, healthcare AI and financial modelling.

Student life (indicative)

London offers arguably the world's richest student experience — thousands of free museums and galleries, a world-leading theatre scene, diverse food from every corner of the globe, and a nightlife scene that never sleeps. The sheer variety is unmatched anywhere in the UK.

The University at a Glance

Student Population

12,000

Staff Ratio

19.0:1

International

12.0%

Career Prospects

Avg Starting Salary

£26,070

First-year earnings

Costs & Living

Intl. Tuition

Fee not confirmed

Check the university's official fee page

City & Location

Major metropolitan (>1m inhabitants)

Course Curriculum

Year 1

  • Foundations of Engineering with Artificial Intelligence
  • Academic and Research Skills
  • Quantitative Methods
  • Introduction to Theory and Practice
  • Optional language or breadth module.

Year 2

  • Intermediate Engineering with Artificial Intelligence topics
  • Applied Methods and Tools
  • Group Project
  • Two optional pathway modules
  • Career and Industry Insights.

Year 3

  • Advanced Engineering with Artificial Intelligence
  • Independent Dissertation or Capstone Project
  • Two specialist optional modules aligned with your interests
  • Employability and Professional Development.

Entry Requirements

Subjects

  • Computer programming
  • Artificial intelligence
  • Computer simulation
  • Data analysis
  • Systems engineering
  • Engineering mathematics
  • Physics
  • Physical science
  • Natural science
  • Materials science
  • Engineering and production
  • Manufacturing engineering
  • Robotics
  • Electronic engineering design
  • Product design
  • Engineering
  • Engineering systems
  • Mechanical engineering
  • Materials handling
  • Electrical engineering
  • Industrial design engineering
  • Electronic engineering
  • Renewable energy
  • Sustainable Design
  • Built environment
  • Civil engineering
  • Construction engineering
  • Water engineering
  • Urban engineering
  • Road transport engineering
  • Structural engineering
  • User centred design

Assessment Methods

Assessment is varied across the programme and may include: Written examinations across foundational modules; Coursework essays and analytical reports; Group and individual projects with presentations; Practical lab, studio, or fieldwork assessments where relevant; A final-year dissertation or capstone project that lets you specialise in a topic of your choice.

Campus & City Life

Student Population

12,000

Total students

Staff Ratio

19:1

Students per staff

International Students

12%

Of student body

Campus at a Glance

City Size

Major metropolitan (>1m inhabitants)

Climate (indicative)

Cool temperate

Safety Index (indicative)

7.8/10

Transport

Moderate (coach or indirect connections)

Social Scene

Friendly community

Student Life & City (indicative)

London offers arguably the world's richest student experience — thousands of free museums and galleries, a world-leading theatre scene, diverse food from every corner of the globe, and a nightlife scene that never sleeps. The sheer variety is unmatched anywhere in the UK.

  • London offers arguably the world's richest student experience — thousands of free museums and galleries, a world-leading theatre scene, diverse food from every corner of the globe, and a nightlife scene that never sleeps.
  • The sheer variety is unmatched anywhere in the UK.

What Students Love

  • World-class museums & galleries
  • Vibrant nightlife & bars
  • Diverse international food scene
  • Theatre & performing arts scene

University Stats

Total Students12,000
Student-to-Staff Ratio19:1
International Students12%
Safety Index (indicative)7.8/10

Career & Outcomes

Avg Starting Salary

£26,070

Average first-year salary

Placement Year

✗ Not offered

Industry work experience

Career Outcomes Overview (indicative)

Specialisation in AI and machine learning opens doors to roles as machine learning engineers, AI researchers, NLP scientists and quantitative analysts. High demand spans technology companies, autonomous vehicles, healthcare AI and financial modelling.

  • Specialisation in AI and machine learning opens doors to roles as machine learning engineers, AI researchers, NLP scientists and quantitative analysts.
  • High demand spans technology companies, autonomous vehicles, healthcare AI and financial modelling.

Top Industries for Graduates

  • Business
  • Healthcare
  • Education

Study Abroad Opportunities

Y

  • Y

Costs & Living Expenses

Intl. Tuition

Fee not confirmed

Check the university's official fee page

Overall Cost of Living (indicative)

HIGH

This location has a higher cost of living. Budget accordingly for accommodation, food, and general expenses.

Monthly Student Budget (indicative)

Housing£1,106/mo
Food & Groceries£331/mo
Transport£158/mo
Estimated Monthly Total£1,817
Annual living costs£21,804/yr

Cost Overview (indicative)

In the higher range for UK student costs — expect around $2,300/month (housing $1,400, food $420, transport $200). A comfortable student lifestyle at costs well below London and the South East.

  • In the higher range for UK student costs — expect around $2,300/month (housing $1,400, food $420, transport $200).
  • A comfortable student lifestyle at costs well below London and the South East.