Students
Tuition Fee
USD 22,990
Per year
Start Date
Not Available
Medium of studying
On campus
Duration
36 months
Details
Program Details
Degree
Bachelors
Major
Costume Design | Design | Film Studies
Area of study
Information and Communication Technologies | Natural Science
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
USD 22,990
Intakes
Program start dateApplication deadline
2023-09-01-
About Program

Program Overview


What will I study?

To accelerate your learning, you will be exposed to theories and principles relating to the design, development and testing of software using AI. You will be exposed to the in-depth concepts, principles, technologies, and techniques to train and deploy distributed machine learning models using cloud-based platforms such as Google Cloud or AWS. You will subsequently be able to apply this knowledge and skill in your own context, and subsequently critically analyse the implementation and recommend potential future improvements.

You will additionally develop understanding of the typology of innovation, how firms leverage internal and external resources to compete in the digital environment, and how to plan for innovation in any organisation.





How will I be taught and assessed?

  • Teaching is delivered through a mix of lectures, workshops, lab sessions, seminars, tutorials, case studies, guest/expert input, and task-based learning in guided and independent study, totalling between

    4-14 hours per week

    (plus project work on Levels 5 and 6)
  • You’re expected to engage in independent study, around

    30 hours per week

  • Assessments

    take place through mix of

    coursework and exams,

    including quizzes, tests, mock exams, practical lab exercises, presentations, Q&A and discussions, formal exams, critical report writing and in-class tests.
  • Taught by

    experienced lecturers and academics

    who use their industry experience to demonstrate how theories translate into real-life situations
  • Technology-enhanced

    learning

    (TEL) is embedded throughout the course to guide your preparation for seminars and independent research
  • Benefit from

    weekly academic support sessions

    designed to build your ability and confidence as an academic learner
  • You will be assigned a

    guidance tutor

    at induction who you will meet regularly during your studies
  • Response to Covid-19: our focus is on providing a safe and welcoming learning environment for our students. More information about our

    response to Covid-19 and FAQs are available here.





    Careers and further study

    After graduating from this programme, you will be equipped to work in a variety of careers in the IT industry, or to progress to academic or research-orientated careers.

    The programme will develop your skills and competencies for careers in a range of job roles, such as:

  • Software Engineer
  • Database Developer
  • AI Data Analyst
  • Information Security Professional
  • Business Analyst
  • AI Engineer
  • Machine Learning Engineer
  • Technologist – Artificial Intelligence, to name but a few
  • See More