Courses-HND-Digital Technologies

Digital Technologies (Artificial Intelligence)

BTEC HND

(1)

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 to study this course?
Full support by Atlantic London from start until graduation.
90% of students were satisfied overall with their course.
81% of students agreed staff were good at explaining things.
84% in work or doing further study 15 months after the course.
What our students say..."I chose to study with Atlantic because the staff members were really supportive and nice. The course also fitted around my job. With their help, I've finally learned to cope and understand my learning pattern, what I'm looking for in a course and what my future aspirations are."Lidia Pavlov Digital Technologies (Artificial Intelligence) student

About institution

David Game College is one of London’s top boarding schools & day independent colleges, proudly marking its 50th anniversary. It focuses on giving students the academic tools to succeed. Small class sizes mean you’ll never get lost in the crowd, and with a wide range of A-level and foundation programs, you’re sure to find the path that fits your ambitions. The College has built solid connections with prestigious Russell Group universities and other higher education institutions.

Modules

Year 1
Year 2

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

Entry requirements

Fees & funding

Course fee per year: £8,900 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. The maintenance loan depends on each individual's circumstances.
Fees breakdown:
Tuition fee loans cover the full cost of your course and are paid directly to the course provider.
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.
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.
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.
Please submit an enquiry to find out more or use our calculator to estimate how much Maintenance Loan you can get and how much you will have to repay per month once you finish your course.
Enter your household income, the university's location and current situation.

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 
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