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Big Data Analytics

BSc (Hons)

Expert academics

Study with academics with real-world experience in data analytics

Work experience

Grab the opportunity to work with real data on a work placement

Professional facilities

Work with the latest industry-grade software and hardware

Location:
Stoke-on-Trent campus
Study option:
Full-time
Choose another study option
Duration:
3 Years
Start date:
Book onto an Open Day Enquire about this course Apply now

Data is rapidly becoming the most valuable commodity in the 21st century. Study big data analytics and become the figurehead that collects, analyses and interprets data on a large scale, giving huge companies the information they need to make accurate and profitable decisions

Graduates from this degree will be able to address the critical skills shortages that exist in the rapidly expanding field of big data analytics. The degree combines a balance of practical computing and business skills integrated with academic rigour. The modern world is experiencing a growth of online data in a variety of forms, including social networks, web documents, digital libraries, blogs, medical records, biological data, remote sensing, imaging, and forecasting. Put simply, business and industry today relies solely on large sources of data, and the ability to interpret these effectively and efficiently to make decisions. A lot of this data will not be fully structured but still contains valuable information that needs discovering, such as emerging opinions in social networks, consumer purchase behaviour, trends from search engines, and patterns that emerge from such huge data sources.

This course puts you at the forefront of new generation technologies. It equips you with the knowledge to contribute to this rapidly emerging area. It will give you hands on experience with various types of large-scale data and information handling.

On successful completion of study, we will issue the following award: BSc (Hons) Big Data Analytics

On successful completion of study, we will issue the following award: BSc (Hons) Big Data Analytics

On successful completion of study, we will issue the following award: BSc (Hons) Big Data Analytics

On successful completion of study, we will issue the following award: BSc (Hons) Big Data Analytics

Part-time study

Part-time study is available and students mirror the full-time timetable with a reduced number of modules each year, up to a maximum of 80 credits per academic year of study.

Part-time study

Part-time study is available and students mirror the full-time timetable with a reduced number of modules each year, up to a maximum of 80 credits per academic year of study.

Part-time study

Part-time study is available and students mirror the full-time timetable with a reduced number of modules each year, up to a maximum of 80 credits per academic year of study.

Part-time study

Part-time study is available and students mirror the full-time timetable with a reduced number of modules each year, up to a maximum of 80 credits per academic year of study.

Work placements

To develop your knowledge and understanding of the computing discipline you’ll have the opportunity to complete an industrial placement between the second and third year of your course. This is also a great opportunity to further develop both your learning and to make valuable contacts for future employment.

Course content

This course will give you the chance to become a Big Data Analytics specialist in many areas of the discipline. To develop your knowledge and understanding further you’ll also have the opportunity to complete an industrial placement between the second and third year of the course. You will study topics that include Business Architecture, Big Data Analysis, Aspects of Business, Computer Networks, Customer Experience Strategy, and Knowledge Exchange.

The University has extensive links with companies such as Microsoft, Google, and Amazon Web Services (as examples), as well as many others. You will find on the course that we arrange regular visits from such companies to introduce new technologies and equally to deliver guest lectures for you to attend. In the case of Amazon Web Services and Microsoft you will have the opportunity to study for certifications.

This course will give you the chance to become a Big Data Analytics specialist in many areas of the discipline. To develop your knowledge and understanding further you’ll also have the opportunity to complete an industrial placement between the second and third year of the course. You will study topics that include Business Architecture, Big Data Analysis, Aspects of Business, Computer Networks, Customer Experience Strategy, and Knowledge Exchange.

The University has extensive links with companies such as Microsoft, Google, and Amazon Web Services (as examples), as well as many others. You will find on the course that we arrange regular visits from such companies to introduce new technologies and equally to deliver guest lectures for you to attend. In the case of Amazon Web Services and Microsoft you will have the opportunity to study for certifications.

This course will give you the chance to become a Big Data Analytics specialist in many areas of the discipline. To develop your knowledge and understanding further you’ll also have the opportunity to complete an industrial placement between the second and third year of the course. You will study topics that include Business Architecture, Big Data Analysis, Aspects of Business, Computer Networks, Customer Experience Strategy, and Knowledge Exchange.

The University has extensive links with companies such as Microsoft, Google, and Amazon Web Services (as examples), as well as many others. You will find on the course that we arrange regular visits from such companies to introduce new technologies and equally to deliver guest lectures for you to attend. In the case of Amazon Web Services and Microsoft you will have the opportunity to study for certifications.

This course will give you the chance to become a Big Data Analytics specialist in many areas of the discipline. To develop your knowledge and understanding further you’ll also have the opportunity to complete an industrial placement between the second and third year of the course. You will study topics that include Business Architecture, Big Data Analysis, Aspects of Business, Computer Networks, Customer Experience Strategy, and Knowledge Exchange.

The University has extensive links with companies such as Microsoft, Google, and Amazon Web Services (as examples), as well as many others. You will find on the course that we arrange regular visits from such companies to introduce new technologies and equally to deliver guest lectures for you to attend. In the case of Amazon Web Services and Microsoft you will have the opportunity to study for certifications.

Academic year

The course operates on a modular basis that provides flexibility and choice. Typically the majority of modules are 30 academic credits with a smaller number of 15 credit modules. Each credit taken equates to a total study time of around 10 hours. Total study time includes scheduled teaching, independent study and assessment activity. Full-time students take modules worth 60 credits per semester, with part-time students taking proportionately fewer credits per semester. All students take a total of 120 credits per level and 360 credits for the degree as a whole. Your overall grade for the course and your degree classification are based on the marks obtained for modules taken at levels 5 and 6. The full-time course has one start point in September.

The course operates on a modular basis that provides flexibility and choice. Typically the majority of modules are 30 academic credits with a smaller number of 15 credit modules. Each credit taken equates to a total study time of around 10 hours. Total study time includes scheduled teaching, independent study and assessment activity. Full-time students take modules worth 60 credits per semester, with part-time students taking proportionately fewer credits per semester. All students take a total of 120 credits per level and 360 credits for the degree as a whole. Your overall grade for the course and your degree classification are based on the marks obtained for modules taken at levels 5 and 6. The full-time course has one start point in September.

The course operates on a modular basis that provides flexibility and choice. Typically the majority of modules are 30 academic credits with a smaller number of 15 credit modules. Each credit taken equates to a total study time of around 10 hours. Total study time includes scheduled teaching, independent study and assessment activity. Full-time students take modules worth 60 credits per semester, with part-time students taking proportionately fewer credits per semester. All students take a total of 120 credits per level and 360 credits for the degree as a whole. Your overall grade for the course and your degree classification are based on the marks obtained for modules taken at levels 5 and 6. The full-time course has one start point in September.

The course operates on a modular basis that provides flexibility and choice. Typically the majority of modules are 30 academic credits with a smaller number of 15 credit modules. Each credit taken equates to a total study time of around 10 hours. Total study time includes scheduled teaching, independent study and assessment activity. Full-time students take modules worth 60 credits per semester, with part-time students taking proportionately fewer credits per semester. All students take a total of 120 credits per level and 360 credits for the degree as a whole. Your overall grade for the course and your degree classification are based on the marks obtained for modules taken at levels 5 and 6. The full-time course has one start point in September.

We use UCAS points in our offer-making and welcome a wide range of qualifications.

  • Typical UCAS offer: 112 points
  • A levels: BBC, CCC plus 16 points from other level 3 qualifications e.g. B at AS
  • BTEC: DMM, MMM plus 16 points from other level 3 qualifications

International and mature students with different qualifications and experience are also encouraged to apply.

  • Typical UCAS Offer: 48 points
  • A levels: A, DD, EEE
  • BTEC: PPP

We use UCAS points in our offer-making and welcome a wide range of qualifications.

  • Typical UCAS offer: 112 points
  • A levels: BBC, CCC plus 16 points from other level 3 qualifications e.g. B at AS
  • BTEC: DMM, MMM plus 16 points from other level 3 qualifications

International and mature students with different qualifications and experience are also encouraged to apply.

We use UCAS points in our offer-making and welcome a wide range of qualifications.

  • Typical UCAS offer: 112 points
  • A levels: BBC, CCC plus 16 points from other level 3 qualifications e.g. B at AS
  • BTEC: DMM, MMM plus 16 points from other level 3 qualifications

International and mature students with different qualifications and experience are also encouraged to apply.

Facilities

Careers

Graduates from our Big Data Analytics degree will be equipped to work in a whole range of related occupations. 

  • Big data analyst
  • Systems analyst
  • Data engineer
  • Systems infrastructure manager
  • Business data advisor
  • Data visualiser
  • Systems data integration developer
  • Business developer

Looking for further study? Our graduates will be ideally suited to study further at Masters level. 

Teaching and assessment

Teaching

Teaching approaches can include for example formal lectures, group work, tutorials/practical sessions, seminars, workshops, directed and self-managed study, and research projects. Each of these will be used on your modules so you get the chance to learn as effectively as possible.

Teaching approaches can include for example formal lectures, group work, tutorials/practical sessions, seminars, workshops, directed and self-managed study, and research projects. Each of these will be used on your modules so you get the chance to learn as effectively as possible.

Teaching approaches can include for example formal lectures, group work, tutorials/practical sessions, seminars, workshops, directed and self-managed study, and research projects. Each of these will be used on your modules so you get the chance to learn as effectively as possible.

Teaching approaches can include for example formal lectures, group work, tutorials/practical sessions, seminars, workshops, directed and self-managed study, and research projects. Each of these will be used on your modules so you get the chance to learn as effectively as possible.

Assessment

This course is assessed via coursework. We have carefully designed assessments in order to use the best methods available to assess the integrated approach to theory and practice that you’ll engage in within the content creation discipline. Your coursework, carried out in response to assignments, project briefs or self-initiated proposals, will be presented in forms appropriate to that in the workplace and will require you to work both individually and in teams in generating computing solutions to set problems. To back up your work you will also write reports and deliver presentations.  Formative assessment is carried out in tutorial and practical sessions and feedback is usually provided to you orally.

This course is assessed via coursework. We have carefully designed assessments in order to use the best methods available to assess the integrated approach to theory and practice that you’ll engage in within the content creation discipline. Your coursework, carried out in response to assignments, project briefs or self-initiated proposals, will be presented in forms appropriate to that in the workplace and will require you to work both individually and in teams in generating computing solutions to set problems. To back up your work you will also write reports and deliver presentations.  Formative assessment is carried out in tutorial and practical sessions and feedback is usually provided to you orally.

This course is assessed via coursework. We have carefully designed assessments in order to use the best methods available to assess the integrated approach to theory and practice that you’ll engage in within the content creation discipline. Your coursework, carried out in response to assignments, project briefs or self-initiated proposals, will be presented in forms appropriate to that in the workplace and will require you to work both individually and in teams in generating computing solutions to set problems. To back up your work you will also write reports and deliver presentations.  Formative assessment is carried out in tutorial and practical sessions and feedback is usually provided to you orally.

This course is assessed via coursework. We have carefully designed assessments in order to use the best methods available to assess the integrated approach to theory and practice that you’ll engage in within the content creation discipline. Your coursework, carried out in response to assignments, project briefs or self-initiated proposals, will be presented in forms appropriate to that in the workplace and will require you to work both individually and in teams in generating computing solutions to set problems. To back up your work you will also write reports and deliver presentations.  Formative assessment is carried out in tutorial and practical sessions and feedback is usually provided to you orally.

Learning support

In addition to the excellent support you will receive from your course teaching team, our central Academic Skills team provides group and one-to-one help to support your learning in a number of areas. These include study skills (including reading, note-taking and presentation skills); written English (including punctuation and grammatical accuracy); academic writing (including how to reference); research skills; critical thinking and understanding arguments; and revision, assessment and examination skills (including time management).

Additional support

Our AccessAbility Services support students with additional needs such as sensory impairment, or learning difficulties such as dyslexia.

Feedback

Your course will provide you with opportunities to test your understanding of your subject informally (through formative feedback) before you complete the formal assessments. Each module normally includes practice or 'formative' assessments for which you receive feedback from your tutor. Practice assessments are developmental and any grades you receive for them do not count towards your module mark, but are essential for you to develop academically as a student. There is a formal or 'summative' assessment at the end of each module and the grades from formal assessments count towards your module mark. You will normally receive feedback on coursework assessments within 20 working days following the date of submission. The feedback you receive will help to focus you to achieve better grades on the next set of modules you study.

Your course will provide you with opportunities to test your understanding of your subject informally (through formative feedback) before you complete the formal assessments. Each module normally includes practice or 'formative' assessments for which you receive feedback from your tutor. Practice assessments are developmental and any grades you receive for them do not count towards your module mark, but are essential for you to develop academically as a student. There is a formal or 'summative' assessment at the end of each module and the grades from formal assessments count towards your module mark. You will normally receive feedback on coursework assessments within 20 working days following the date of submission. The feedback you receive will help to focus you to achieve better grades on the next set of modules you study.

Your course will provide you with opportunities to test your understanding of your subject informally (through formative feedback) before you complete the formal assessments. Each module normally includes practice or 'formative' assessments for which you receive feedback from your tutor. Practice assessments are developmental and any grades you receive for them do not count towards your module mark, but are essential for you to develop academically as a student. There is a formal or 'summative' assessment at the end of each module and the grades from formal assessments count towards your module mark. You will normally receive feedback on coursework assessments within 20 working days following the date of submission. The feedback you receive will help to focus you to achieve better grades on the next set of modules you study.

Your course will provide you with opportunities to test your understanding of your subject informally (through formative feedback) before you complete the formal assessments. Each module normally includes practice or 'formative' assessments for which you receive feedback from your tutor. Practice assessments are developmental and any grades you receive for them do not count towards your module mark, but are essential for you to develop academically as a student. There is a formal or 'summative' assessment at the end of each module and the grades from formal assessments count towards your module mark. You will normally receive feedback on coursework assessments within 20 working days following the date of submission. The feedback you receive will help to focus you to achieve better grades on the next set of modules you study.

UK, EU and Channel Island students: This tuition fee is agreed subject to UK government policy and parliamentary regulation. If the UK government passes appropriate legislation, the fee for subsequent years of study may increase in each academic year. But this increase will not exceed the rate of inflation as measured by RPIX**. Any change in fees will apply to both new and continuing students. The University will notify students of any change as early as possible. Further information about fee changes would be posted on the University’s website once this becomes available.

**RPIX is a measure of inflation equivalent to all the items in the Retail Price Index (RPI) excluding mortgage interest payments.

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Rules and regulations

If you are offered a place at Staffordshire University, your offer will be subject to our rules, regulations and enrolment conditions, which may vary from time to time.

Students of Staffordshire University enter into a contract with us and are bound by these rules and regulations, which are subject to change. For more information, please see: University Policies and Regulations.

16/09/2019 15:54:15 / Big Data Analytics / Full-time / 1.0 / 36.0 / SSTK-12563 / Direct link

16/09/2019 15:54:15 / Big Data Analytics / Full-time, with a foundation year / 1.0 / 36.0 / SSTK-12566 / Direct link

16/09/2019 15:54:15 / Big Data Analytics / Full-time, with a placement year / 1.0 / 36.0 / SSTK-12565 / Direct link

16/09/2019 15:54:15 / Big Data Analytics / Part-time / 1.0 / 36.0 / SSTK-12564 / Direct link