De Montfort University
UCAS Code: G460 | Bachelor of Science - BSc
Entry requirements
Pass in the QAA accredited Access to HE course. English and Maths GCSE required as a separate qualification as equivalency is not accepted within the Access qualification. We will normally require students to have had a break from full-time education before undertaking the Access course
International Baccalaureate Diploma Programme
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
BTEC National Diploma/ Extended Diploma
T Level
UCAS Tariff
Five GCSEs at grade C or above, including English and Mathematics
About this course
This course provides a broad understanding of aspects of Applied Computing, whilst allowing students to specialise in their chosen areas. It develops technical skills in computing, including agile programming, mobile applications, information security, analysis, database design, and business intelligence alongside developing critical thinking skills vital to working in complex IT environments. The course also benefits from the unique research contribution of the Internationally renowned Centre for Computing and Social Responsibility (CCSR), which embeds ethics and the impact of computing and technology within the modules.
Professionalism within the industry context is emphasised throughout, with strong links to BCS (The Chartered Institute for IT). Students will be exposed to multiple concepts, tools and technologies that are current industry standard, in addition to the fundamental underlying principles.
The curriculum offers Applied Computing BSc students significant employment opportunities aligned with the shift in the IT industry towards hybrid professionals who engage with both technical and business aspects. Through thinking critically and systemically, Applied Computing BSc graduates are attractive prospects to a wide range of roles and employers.
**Key features**
We have more than 50 years of computing experience that you can learn from. This long-standing history allows you to draw on a wealth of research and academic expertise to inform your studies.
Enhance your employability and gain industry experience by undertaking an optional work placement. Previous students have carried out placements at organisations including Caterpillar, GCHQ, General Electric, Hewlett-Packard, IBM, Microsoft, Siemens and Vauxhall.
Develop your practical skills in our specialist facilities. You’ll have access to 100 computer workstations which are divided into five interconnected laboratories, each with 20 high-specification PCs running Windows/Linux.
Enjoy an international experience with DMU Global, which can enrich your studies and expand your cultural horizons. Previous DMU Global trips have included New York, Berlin, Hong Kong, China, Canada, Japan, South Africa and Italy to name a few.
Through block teaching, you will focus on one subject at a time instead of several at once. This means that you will be able to focus closely on each subject and absorb your learning material in more depth, whilst working more closely with your tutors and course mates.
Benefit from block teaching, where most students study one subject at a time. A simple timetable will allow you to really engage with your learning, receive regular feedback and assessments, get to know your course mates and enjoy a better study-life balance.
Modules
**First year**
Block 1: Foundations of Computing
Block 2: Programming in Python
Block 3: Data Analytics and Statistics
Block 4 : Information Systems Analysis and Design
**Second year**
Block 1: Programming with APIs and Frameworks
Block 2: Business Intelligence
Block 3: Information and Database Development
Block 3: Introduction to Information Security
Block 4: Integrated Project
**Third year**
Block 1: Application Architecture
Block 2: Business Systems Solutions
Block 3 / 4: Final Year Project
**Year 3 optional modules (choose one):** Block 3 / 4: ICT for development, Block 3 / 4: Privacy and Data Protection, Block 3 / 4: Advanced Database Management and Programming, Block 3 / 4: Artificial Intelligence
All modules are indicative and based on the current academic session. Course information is correct at the time of publication and is subject to review. Exact modules may, therefore, vary for your intake in order to keep content current. If there are changes to your course we will, where reasonable, take steps to inform you as appropriate.
Assessment methods
The compulsory modules on this course ensure that students learn by a combination of practical experience, self-study and research. The option modules at Level 6 allow students the opportunity to specialise.
The modules making up the course employ a range of learning and teaching strategies including: (1) staff directed teaching and learning via lectures, seminars, laboratories; (2) case-study and lab based exercises for the dissemination of knowledge, information and the demonstration of processes and techniques; (3) student centred learning via collaborative and group based learning by group assignments and projects; (4) individual independent learning using literature sources, internet sources and further research (incl. Web based resources), (5) Presentation of findings, report writing, assignments, practice (6) practical work-based exercises for the development of skills and understanding, and; (7) project-based learning to develop management, design, development and communication skills.
Assessment methods and assessment criteria are vested in the individual modules constituting the programme. Each module specification defines the assessment methods and reassessment details which are appropriate to its aims and objectives, as well as the teaching and learning strategy of the module. Normally some modules are assessed by a combination of coursework and a phase test. Where subject content of the module is more appropriate to be assessed using coursework, these modules are assessed by 100% coursework. Methods of assessment for the modules therefore may include: Time constrained phase tests, Portfolios of work, Laboratory exercises, Oral examinations, Demonstrations, Individual & individually assessed group work, Project work, Reports & presentations and Research reports.
You deserve a positive teaching and learning experience, where you feel part of a supportive and nurturing community. That’s why most students will enjoy an innovative approach to learning using block teaching, where you will study one module at a time. You’ll benefit from regular assessments - rather than lots of exams at the end of the year - and a simple timetable that allows you to engage with your subject and enjoy other aspects of university life such as sports, societies, meeting friends and discovering your new city. By studying with the same peers and tutor for each block, you’ll build friendships and a sense of belonging.
Tuition fees
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The Uni
Leicester Campus
Computing, Engineering and Media
What students say
We've crunched the numbers to see if the overall teaching satisfaction score here is high, medium or low compared to students studying this subject(s) at other universities.
How do students rate their degree experience?
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Information technology
Teaching and learning
Assessment and feedback
Resources and organisation
Student voice
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
After graduation
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Information technology
What are graduates doing after six months?
This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.
Top job areas of graduates
What about your long term prospects?
Looking further ahead, below is a rough guide for what graduates went on to earn.
Information technology
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£22k
£27k
£35k
Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.
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Post-six month graduation stats:
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It offers a snapshot of what grads went on to do six months later, what they were earning on average, and whether they felt their degree helped them obtain a 'graduate role'. We calculate a mean rating to indicate if this is high, medium or low compared to other universities.
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Graduate field commentary:
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The Longitudinal Educational Outcomes dataset combines HRMC earnings data with student records from the Higher Education Statistics Agency.
While there are lots of factors at play when it comes to your future earnings, use this as a rough timeline of what graduates in this subject area were earning on average one, three and five years later. Can you see a steady increase in salary, or did grads need some experience under their belt before seeing a nice bump up in their pay packet?
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