Digital Technologies (Artificial Intelligence)
BTEC HND
Available campuses
- Blended
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Intake period: January, May, September
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Attendance: Day, Evening + Weekend
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Program type: Full time
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Duration: 2 years
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Tuition fee: £ 8.900/year
Modules
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
Entry Requirements
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.
Campus map location
- 31 Jewry St, London EC3N 2ET, UK
- Blended
-
Intake period: January, May, September
-
Attendance: Day
-
Program type: Full time
-
Duration: 2 years
-
Tuition fee: £ 8.900/year
Modules
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
Entry Requirements
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
Campus map location
- 4 Dingwall Road, Croydon, Surrey, CR0 2LX
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Intake period:
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Attendance:
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Program type: Full time
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Duration:
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Tuition fee: £ /year
Modules
Entry Requirements
Campus map location
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Intake period:
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Attendance:
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Program type: Full time
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Duration:
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Tuition fee: £ /year
Modules
Entry Requirements
Campus map location
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Intake period:
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Attendance:
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Program type: Full time
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Duration:
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Tuition fee: £ /year
Modules
Entry Requirements
Campus map location
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Intake period:
-
Attendance:
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Program type: Full time
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Duration:
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Tuition fee: £ /year
Modules
Entry Requirements
Campus map location
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Intake period:
-
Attendance:
-
Program type: Full time
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Duration:
-
Tuition fee: £ /year
Modules
Entry Requirements
Campus map location
-
Intake period:
-
Attendance:
-
Program type: Full time
-
Duration:
-
Tuition fee: £ /year
Modules
Entry Requirements
Campus map location
-
Intake period:
-
Attendance:
-
Program type: Full time
-
Duration:
-
Tuition fee: £ /year
Modules
Entry Requirements
Campus map location
Course overview
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
Assessments list
- 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.
Fees breakdown
- 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.
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Study & Career progression
Career progression examples
- 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
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David Game College
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