Apply now
Home / Courses / Digital Technologies (Artificial Intelligence)

Digital Technologies (Artificial Intelligence)

BTEC HND

Available campuses

London
  • Blended
  • Intake period:
    January, May, September
  • Attendance:
    Day, Evening + Weekend
  • Program type:
    Full time
  • Duration:
    2 years
  • Tuition fee: £
    8.900
    /year

Year 1

  • Professional Practice in the Digital Economy
  • Innovation and Digital Transformation
  • Cyber Security
  • Programming
  • Big Data and Visualisation
  • Cloud Fundamentals
  • Software Development Lifecycles
  • Fundamentals of Artificial Intelligence and Intelligent Systems

 

Year 2

  • Business Intelligence
  • Internet of Things
  • Emerging Technologies
  • Risk Analysis and Systems Testing
  • Application DevelopmentApplication Program Interfaces
  • Work-based Learning in the Digital Economy
  • Pitching and Negotiating Skills

Minimum Age: 18 years old

 

Academic Qualifications:

Applicants must provide proof of their highest academic qualification, which can include:

  • Level 3 Qualifications (e.g., A Levels, Level 3 NVQ, diplomas, certificates, or Access to Higher Education Diploma)
  • International Baccalaureate
  • High School Level Qualifications
  • Level 2 Qualifications or equivalent (e.g., GCSEs, Level 2 NVQ, diplomas, certificates)

 

English Proficiency and Admission Process

If English is not your first language, you must complete an English language test that assesses speaking, listening, reading, and writing skills. We also accept a range of other English language qualifications.

Applicants will also need to attend an interview with a member of the admissions team.

  • 31 Jewry St, London EC3N 2ET, UK
London
  • Blended
  • Intake period:
    January, May, September
  • Attendance:
    Day
  • Program type:
    Full time
  • Duration:
    2 years
  • Tuition fee: £
    8.900
    /year

Year 1

  • Professional Practice in the Digital Economy
  • Innovation and Digital Transformation
  • Cyber Security
  • Programming
  • Big Data and Visualisation
  • Cloud Fundamentals
  • Software Development Lifecycles
  • Fundamentals of Artificial Intelligence and Intelligent Systems

 

Year 2

  • Business Intelligence
  • Internet of Things
  • Emerging Technologies
  • Risk Analysis and Systems Testing
  • Application Development
  • Application Program Interfaces
  • Work-based Learning in the Digital Economy
  • Pitching and Negotiating Skills

English Proficiency and Admission Process

If English is not your first language, you must complete an English language test that assesses speaking, listening, reading, and writing skills. We also accept a range of other English language qualifications.

Applicants will also need to attend an interview with a member of the admissions team.

 

Academic Qualifications:

Applicants must provide proof of their highest academic qualification, which can include:

  • Level 3 Qualifications (e.g., A Levels, Level 3 NVQ, diplomas, certificates, or Access to Higher Education Diploma)
  • International Baccalaureate
  • High School Level Qualifications
  • Level 2 Qualifications or equivalent (e.g., GCSEs, Level 2 NVQ, diplomas, certificates)

 

Minimum Age: 18 years old

  • 4 Dingwall Road, Croydon, Surrey, CR0 2LX
  • Intake period:
  • Attendance:
  • Program type:
    Full time
  • Duration:
  • Tuition fee: £
    /year
  • Intake period:
  • Attendance:
  • Program type:
    Full time
  • Duration:
  • Tuition fee: £
    /year
  • Intake period:
  • Attendance:
  • Program type:
    Full time
  • Duration:
  • Tuition fee: £
    /year
  • Intake period:
  • Attendance:
  • Program type:
    Full time
  • Duration:
  • Tuition fee: £
    /year
  • Intake period:
  • Attendance:
  • Program type:
    Full time
  • Duration:
  • Tuition fee: £
    /year
  • Intake period:
  • Attendance:
  • Program type:
    Full time
  • Duration:
  • Tuition fee: £
    /year
  • Intake period:
  • Attendance:
  • Program type:
    Full time
  • Duration:
  • Tuition fee: £
    /year

Course overview

The HND Digital Technologies (Artificial Intelligence) offers a two-year program that focuses on equipping students with crucial skills in artificial intelligence and digital technologies. The course is structured to provide both theoretical and practical knowledge in areas like AI programming, big data and machine learning, among others. It is aimed at students who want to explore a career in the rapidly evolving AI field, preparing them for real-world challenges in this fast-growing field.

In this HND Digital Technologies (AI) course, students will develop critical problem-solving abilities and practical experience in digital technology and AI systems. They will explore areas such as cybersecurity, cloud networking and data analysis while mastering the fundamental concepts of AI. The curriculum includes hands-on projects that emulate real-life tech settings, giving students the chance to apply their learning in scenarios that reflect modern applications.
Graduates of this HND course will be well-positioned to enter the workforce in roles related to AI development, data analysis and IT consulting. The Digital Technologies program provides a solid foundation for further studies or specializations in digital technologies. Career options include roles such as AI engineer, cybersecurity specialist or data analyst, making it an excellent entry point into the dynamic field of digital transformation that is thriving at the moment.

Why study this course?

  • Full support by Atlantic London from start until graduation.
  • 85% of students were satisfied overall with their course.
  • 93% of students agreed staff were good at explaining things.
  • 80% work or doing further study 15 months after the course.

Student reviews

Hear first-hand from our incredible community of students.

Assessments

You’ll be able to test your skills and knowledge informally before you do assessments that count towards your final mark. You can get feedback on all practice and formal assessments so you can improve in the future. You will have the opportunity to complete a variety of relevant evaluation methods as you progress through your course modules, such as individual reports, case study analyses, group presentations, and personal independent tasks designed in cooperation with your course module leader. Personal discovery, digital technology, theory application to real-world business, managerial practice, and inventive thinking will be emphasised in your exams. You’ll be assessed through:
  • Individual and group coursework
  • Examinations
  • Online tests
  • Practical exercises

Fees & funding

Course fee per year: £8.900

  • Financed by Student Finance England

The Tuition Fee of the course may vary depending on the institution you wish to study at, as well as your status in the UK. The course is available for UK/EU & International Students and eligible for Student Loans Company (SLC) funding to help cover the cost of your tuition fees and other expenses.

If you are an UK/EU citizen or living in the UK on an Indefinite stay, apart from the tuition fees, you could also receive support from the government via Student Loans Company to cover some living costs while studying.

  • Tuition fee loans cover the full cost of your course and are paid directly to the course provider.
  • Maintenance Loan pays for day-to-day living expenses like rent, bills, food and books. Unlike the fees loan, it's paid directly to your student bank account once a term and you can spend it on anything you like.
  • Student Finance has to be paid back, however, you only make Student Loan repayments once you've left your course AND are earning enough. Repayments vary with your salary, and stop altogether if your income drops too low.
  • Students can also apply for other types of special support grants, such as childcare grants or Disabled Students' Allowance if eligible.
  • Moreover, almost all universities offer a selection of student bursaries. These are cash gifts you usually don't have to repay.
Name

Study & Career progression

Graduates can pursue various roles or further education in digital technologies and AI. The most common potential career paths include:
  • AI Engineer
  • AI Developer
  • Robotics Engineer
  • Machine Learning Engineer
  • NLP Specialist
  • Automation Engineer
  • AI Specialist
  • Data Analyst
  • Cloud Solutions Architect
  • Cyber Security Specialist
  • IT Consultant

Digital Technologies (Artificial Intelligence)

BTEC HND

Course summary

  • David Game College
Apply now
Book an appointment

Are you ready
for the student life?

+20.000 student enrollments

Just fill in the form and one of our consultants will contact your shortly!
Still undecided? No worries! You can book an appointment for further answers.

Apply now
Book an appointment
Book appointment
Apply now

Related courses

You might be interested in similar courses

Bachelor degree
  • University of Central Lancashire

Business and Marketing

BSc Hons

  • Financed by Student Finance England

Study modes

Bachelor degree
  • University of Central Lancashire

International Business Management

BSc Hons

  • Financed by Student Finance England

Study modes

Bachelor degree
  • University of Central Lancashire

Health and Social Care

BSc Hons

  • Financed by Student Finance England

Study modes

Bachelor with Foundation year
  • University of Central Lancashire

Public Health

BSc Hons

  • Financed by Student Finance England

Study modes

Bachelor degree
  • University of Central Lancashire

Public Health

BSc Hons

  • Financed by Student Finance England

Study modes

Bachelor degree
  • University of Central Lancashire

Mental Health and Wellbeing

BSc Hons

  • Financed by Student Finance England

Study modes

Recommend a friend

Partner institutions

Financing

FAQs

Apply now
Book an appointment
Book an appointment
WhatsApp message