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Embedded computing is at the heart of almost all modern digital systems, from the automotive industry to healthcare, and science to finance.
More than 20 billion microprocessors and microcontrollers are currently providing intelligent features, smart capabilities, personalised interfaces and optimised communications to an incredibly wide range of devices.
Study at ARU in Cambridge and explore the world of embedded computing. Learn to combine hardware and software components, making the most of powerful portable computing and advanced data-driven decision-making. You'll employ machine learning methodologies to create market-ready solutions with enhanced technologies that transform data into valuable information.
Our brand new degree course has been designed with employers and industry in mind, so that you learn the professional skills you'll need as a graduate. You will be guided through cutting-edge tools to learn trends and behaviours from the data itself.
As an Embedded Computing and Machine Learning student at ARU, you'll get the knowledge and skills to develop as a specialist in the areas of data analysis, machine learning, neural networks and artificial intelligence algorithm design. As well as this, you'll explore the commercial, environmental and ethical factors that come into play when machine learning and automation is used. You'll develop the understanding you need to display good professional judgement and responsibility.
If you enjoy computer science, mathematics and technology and want to apply these fundamentals in a practical way – combining them with electronics, digital systems and software design to create solutions to everyday technological issues – this BSc (Hons) Top-Up course is for you.
Academic qualification equivalents
English language requirements
If English is not your first language you'll need to be able to show you have the required level of English language. This is so we can ensure you'll be able to follow your course.
Type of Institute | Public |
Location | Cambridge, England |
Programs offered | UG, PG and doctorate degree |
Mode of application | Online |
Application fee | 20-30 GBP |
Housing facilities | Available |
Financial Aid | Scholarships, loans and grants |
The estimated cost of attendance for the 2020/2021 academic session is presented on the table below:
Fees | Amount (GBP) |
---|---|
Tuition (Undergraduate and Postgraduates) | 13,500 – 16,200 |
Accommodation (Average) | 5,500 |
Food | 1,800 |
Clothing | 200 |
Books and Stationery | 200 |
Personal (Toiletries, laundry, etc.) | 200 |
Telephone | 250 |
Socializing | 300 |
Travel | 300 |
Miscellaneous | 385 |
Total | 22,635 - 25,335 |
Tuition Fees in USA (1st Year Average) | BE/Btech: USD 28300 | MS: USD 22693 | BBA: USD 26616 | MBA: USD 29558 | BSc: USD 29418 | MA: USD 20452 | MIS: USD 22133 | MFin: USD 37683 | MEng: USD 29558 | MIM: USD 35301 | MEM: USD 23254 | MArch: USD 34741 | MFA: USD 28857 | BHM: USD 27176 |
Average Accomodation & Food Costs in USA | USD 700 to 1000 Per Month |
Entrance Exams in USA | TOEFL: 86 | IELTS: 6.5 | PTE: 60 | GRE: 309 | GMAT: 560 | SAT: 1177 |
Work and Study in USA | Permitted for 20 hours/week with a valid study permit. Know More |
Post Study Work Permit in USA | One to Two Years after graduation depending on the course. |
Cost of Student Visa in USA | USD 160 |
Student Visa in USA | F1 Visa for USA allows you study permit in USA in full time academic courses. Any accredited school, college, university, academic institute, seminary, or conservatory in USA must accept you beforehand to apply for F1 visa in USA. Know More |
Intakes in USA | There are Three Intakes in USA: Fall (August-September), Spring (January) Know More |
Top Job Sectors in USA | Health Care, Education, Construction, Hospitality & Tourism, Business Services, Finance. |
Economy in USA | GDP Growth of 2.1% (Q4 2019), The Larges Economy of the World by Nominal |