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University of Salford

Computer Science with Data Analytics with Professional Experience

UCAS Code: G4G4

Bachelor of Science - BSc

Entry requirements


120 UCAS Tariff Points. A Level grade B in Maths (Pure & Statistics OK) or C in Further Maths. Must pass Science Practical.

120 UCAS Tariff Points. Qualification not accepted on its own, must be completing a minimum of 2 A2s or equivalent.

MUST REFER

120 UCAS Tariff Points. Applicants will be considered on an individual basis depending on subject area.

120 UCAS Tariff Points. Qualification not accepted on its own, must be completing a minimum of 2 A2s or equivalent.

GCSE/National 4/National 5

Grade C or grade 4 (or above) in Maths and English GCSE is required. Equivalent qualifications Key Skills level 2, and Functional Skills Level 2, are also accepted.

International Baccalaureate Diploma Programme

35

Grade 6 in Maths at Higher Level

120 UCAS Points including A1 Higher Level Maths

120 UCAS Points including A1 Higher Level Maths

MUST REFER

MUST REFER

MUST REFER

MUST REFER

MUST REFER

120 UCAS points, to include B at Advanced Higher in Maths

120 UCAS Tariff points, to include Maths grade B at Advanced Highers

UCAS Tariff

120

120 UCAS Tariff Points, from a minimum of 2 A2 qualifications or equivalent.

120 UCAS Tariff Points. Qualification not accepted on its own, must be completing a minimum of 2 A2s or equivalent.

100%
Applicants receiving offers

About this course


Course option

4.0years

Sandwich | 2020

Subject

Computer science

**Data' analytics is one of the fastest growing career paths in IT. Build a lucrative career unlocking the value in data with a BSc (Hons) Computer Science with Data Analytics degree with Salford.**

The “Internet of Things” is embedding networked sensors into vehicles, buildings and devices. Many organisations across the world, need talented individuals who can interpret large and varied sets of data and find them valuable information. This industry-designed course will take you into the new field of “big data analytics” exploring three main activities: data capture, data analysis and data exploitation

This specialised course blends modules from our Computer Science and Mathematics programmes, so you develop practical programming and problem-solving skills, with a good understanding of data. You’ll study probability, data theory and operational research. You’ll explore Artificial Intelligence and data mining, statistics and data warehousing.

On this course, you will have the opportunity to apply to spend a year in industry between the second and third year. This is an excellent opportunity to expand your CV and will give you the opportunity to apply your academic knowledge and interpersonal skills in a real-world environment, and to reflect on your own personal development and career choices. Successful completion of an industrial placement year, which you arrange with our support, will add 'with Professional Experience' to your degree title.

With our envious campus location, minutes from central Manchester, you’ll have plenty of opportunities to get involved in the region’s thriving design and tech community. During your studies, you can also choose to spend a year in industry to expand your CV and apply your academic knowledge and interpersonal skills in a real-world environment.

**Features**
- explore the inner workings of programmes, operating systems and networks to understand cyber attacks.

- learn forensics so you can diagnose attacks and determine the extent of damage.

- develop an understanding of cryptography to address security concerns

- learn about evidence preservation so you can work within an ethical framework

- understand risk management so you to actively manage threats rather than just solve problems

- Spend a year in industry, developing essential workplace skills

Modules

Year one modules may include: Data Theory, Database Systems, Mathematical Methods 1, Probability, Programming 1, Programming 2. Year two modules may include: Al and Data Mining, Data Structures and Algorithms, Data Warehousing, Mathematical Methods 2, Software Architectures, Statistics. Year three modules may include: Project, Information Security Management, Mathematical Statistics, Operational Research, plus two from the following: Computer Graphics, Foreign Language, Mobile Development.

The Uni


Course location:

University of Salford

Department:

School of Computing, Science and Engineering

TEF rating:

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What students say


We've crunched the numbers to see if overall student satisfaction here is high, medium or low compared to students studying this subject(s) at other universities.

76%
med
Computer science

How do students rate their degree experience?

The stats below relate to the general subject area/s at this university, not this specific course. We show this where there isn’t enough data about the course, or where this is the most detailed info available to us.

Computer science

Teaching and learning

72%
Staff make the subject interesting
77%
Staff are good at explaining things
77%
Ideas and concepts are explored in-depth
84%
Opportunities to apply what I've learned

Assessment and feedback

Feedback on work has been timely
Feedback on work has been helpful
Staff are contactable when needed
Good advice available when making study choices

Resources and organisation

83%
Library resources
83%
IT resources
87%
Course specific equipment and facilities
60%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions

Who studies this subject and how do they get on?

86%
UK students
14%
International students
88%
Male students
12%
Female students
70%
2:1 or above
11%
Drop out rate

Most popular A-Levels studied (and grade achieved)

C
B
B

After graduation


The stats in this section relate to the general subject area/s at this university – not this specific course. We show this where there isn't enough data about the course, or where this is the most detailed info available to us.

Computer science

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.

£22,000
med
Average annual salary
90%
med
Employed or in further education
91%
med
Employed in a role where degree was essential or beneficial

Top job areas of graduates

51%
Information technology and telecommunications professionals
11%
Information technology technicians
6%
Science, engineering and production technicians
What do graduate employment figures really tell you?

This is a newly-classified subject area for this kind of data, so we don’t currently have very much information to display or analyse yet. The subject is linked to important and growing computing industries, and over time we can expect more students to study them — there could be opportunities that open up for graduates in these subjects as the economy develops over the next few years.

What about your long term prospects?

Looking further ahead, below is a rough guide for what graduates went on to earn.

Computer science

The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.

£19k

£19k

£22k

£22k

£23k

£23k

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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This is what the university has told Ucas about the criteria they expect applicants to satisfy; some may be compulsory, others may be preferable.

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This is the percentage of applicants to this course who received an offer last year, through Ucas.

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This is what the university has told Ucas about the course. Use it to get a quick idea about what makes it unique compared to similar courses, elsewhere.

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Course location and department:

This is what the university has told Ucas about the course. Use it to get a quick idea about what makes it unique compared to similar courses, elsewhere.

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Teaching Excellence Framework (TEF):

We've received this information from the Department for Education, via Ucas. This is how the university as a whole has been rated for its quality of teaching: gold silver or bronze. Note, not all universities have taken part in the TEF.

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This information comes from the National Student Survey, an annual student survey of final-year students. You can use this to see how satisfied students studying this subject area at this university, are (not the individual course).

We calculate a mean rating of all responses to indicate whether this is high, medium or low compared to the same subject area at other universities.

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This information is from the Higher Education Statistics Agency (HESA).

You can use this to get an idea of who you might share a lecture with and how they progressed in this subject, here. It's also worth comparing typical A-level subjects and grades students achieved with the current course entry requirements; similarities or differences here could indicate how flexible (or not) a university might be.

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Post-six month graduation stats:

This is from the Destinations of Leavers from Higher Education Survey, based on responses from graduates who studied the same subject area here.

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:

The Higher Education Careers Services Unit have provided some further context for all graduates in this subject area, including details that numbers alone might not show

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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?

Have a question about this info? Learn more here