Data Science BSc (Hons)

Bachelor's degree

In Stoke-On-Trent

£ 9,000 + VAT

Description

  • Type

    Bachelor's degree

  • Location

    Stoke-on-trent

  • Duration

    3 Years

The National Institute of Standards and Technology (NIST) definition of Big Data is:
“Big Data consists of extensive datasets – primarily in the characteristics of volume, variety, velocity, and/or variability – that require a scalable architecture for efficient storage, manipulation, and analysis.”
And NIST defines Data Science as:
“ the empirical synthesis of actionable knowledge from raw data through the complete data lifecycle process.
This Data Science degree aims to provide specialist graduate in a recognised skills gap in the US and UK.
Organisations are relying more and more on knowledge gained for interpreting data. This data may be internal or external, structured or semi-structured, maybe derived from traditional sources (government, banks,etc.) or social media streams (twitter, facebook etc.)
The role of a data science graduate is to use the data from these various sources and use the finding to empower the organisation which employs them.
For example, the UK Government built a model to track the potential spread of Ebola in the UK. The model used airline data, medical data, trend analysis etc to predict and prevent entry of the disease into the UK.
The award is appropriate for those that wish to develop their knowledge and skills in this discipline with a view to moving into Data Science.
This course is ideal if you want to combine current academic knowledge and skills in Data Science with leading industry practice. The additional embedding of the SAP Business Suite within the curriculum means that you’ll be suited to a wide range of careers within the public and private sectors when you graduate.
The course will help you to develop the skills you need to understand business, communicate effectively with others, organise, plan and develop computer systems.
You’ll develop an understanding of how data science fit into organisations and you’ll be able to work on the management and deployment of data science models at strategic...

Facilities

Location

Start date

Stoke-On-Trent (Staffordshire)
See map
College Road, ST4 2DE

Start date

On request

About this course

The entry requirements for the course are normally:
All applicants are individually assessed on their qualifications, skills and experience. However, a typical entry requirement is 112 UCAS tariff points (three A levels or BTEC National Diploma).
Applicants should have a Grade A GCSE Mathematics and English at grade C or above.
For applicants from overseas, the required IELTS score is currently 6.0, but this may be raised in light of new UKBA guidance.
For more information on Staffordshire University’s Undergraduate entry requirements please consult...

Questions & Answers

Add your question

Our advisors and other users will be able to reply to you

Who would you like to address this question to?

Fill in your details to get a reply

We will only publish your name and question

Reviews

Subjects

  • Teaching
  • Government

Course programme



This award sits within the School of Computing and shares a common ethos with other awards in the School. There is an overarching teaching, learning and assessment strategy to ensure consistent approaches are adopted between awards. Modules resident in one award often contribute to several others.
Award outcomes individually define the set of learning objectives each student must satisfy (demonstrate) at each stage of an award. These outcomes directly relate to modules that sit within a given stage providing the opportunity for the student to learn and be assessed to confirm intended outcomes are achieved.
Each module is designed to ensure subject content, teaching delivery and assessment contribute to meet overall outcomes of an award. In choosing teaching, learning and assessment methods we ensure that the specific mechanism of delivery, the provided learning opportunity, and approach to assessment of the student s achievement form a combined equation that supports and enhances the entire education process.
Teaching methods used include lectures, problem-based tutorials, practical laboratory sessions, surgeries, and group-based activities. Learning approaches are chosen to be compatible to the method of delivery and can include: case studies, investigations, seminars, resource based learning, and independent reading. Extensive use is made of a virtual learning environment.
Contact hours are reduced as the student progresses thought the degree.
The faculty is keen to create an independent learner as they move though their studies and who become able to development material independently.

Additional information

Opportunity to gain SAP certification Opportunity to gain Oracle SQL certification Taught using up to date specialist Laboratories Study the latest technologies that industry is and will be using Dedicated teaching team which will be helping you with your studies throughout your time with us Industry talks given regularly to keep our students at the cutting edge of technology Please email Nico Decourt or Euan Wilson if you would like more information

Data Science BSc (Hons)

£ 9,000 + VAT