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IoC Skills Bootcamp: Data Science and Cloud Systems

Data is changing the world and organisations not capitalising on their data are at a distinct competitive disadvantage. There is a surge in demand for data scientists who can get valuable insights and information from a range of different sources....

Studying with us in 2021/22

It is possible that the 2021/22 academic year may be affected by the ongoing disruption caused by the Covid-19 pandemic.  Information about the arrangements the University has put in place for the 2021/22 academic year in response to Covid-19 and the emerging variants can be found here.


Should the impact of Covid-19 continue in subsequent years of your course, any additional and/or alternative arrangements put in place by the University in response will be in accordance with the latest government public health advice, pandemic-related/health and safety legislation, and the terms and conditions of the student contract.

  • Level Short Course
  • Study mode Short Course
  • Location City Centre
  • Award N/A
  • Start date September 2021
  • School School of Computing and Digital Technology
  • Faculty Faculty of Computing, Engineering and The Built Environment

Overview

Data is changing the world and organisations not capitalising on their data are at a distinct competitive disadvantage. There is a surge in demand for data scientists who can get valuable insights and information from a range of different sources.

This Bootcamp will give you an introduction to cloud systems, effective use and implementation issues commonly found in technology organisations coupled with by an in-depth practical focus on data analysis, modelling and manipulation leading into AI applications of natural language, image recognition and conversational AI.

The course will end with a digital certification examination set by Microsoft which will make all learners sought after for data roles across the region. 

This course is not open to International students.

What's covered in this course?

You will learn a range of data skills during this course which you will be able to replicate in industry on various related projects. The skills include:  

  • Ability to manage, store, manipulate and clean datasets for analytics projects.
  • Ability to implement data science principles to analyse and report findings for simple datasets.
  • Ability to implement AI models to create a conversational AI system in Microsoft Azure.  
  • Ability to implement an image recognition AI system in Microsoft Azure. 

Every week will include an individual or group project, motivated by industry, which targets a core data or AI area. This will end with a group or individual presentation at the end of the week to demonstrate work, discuss findings and to build up the learner’s portfolio to support employability. 

Fees & How to Apply

Essential Entry Requirements

  • GCSE English language and mathematics at grade C/4 or above
  • Equivalent level 2 or above qualifications can be accepted
  • Must have been achieved at the point of enrolment

Apply Now

Course Fees:

This Skills Bootcamp is FREE for individuals to apply and study. Employers who wish to upskill existing employees through the Skills Bootcamps will need to pay 30% of the fees that would normally be charged for this course, please email cebeenterprise@bcu.ac.uk for more details. 

Course Duration

Start date: 27 September 2021

Duration: 16 weeks – 8 weeks remote and 8 weeks on-site learning

Location: City Centre (part remote/part on-site)

Course in Depth

The Data Science and Cloud Systems bootcamp will run for 16 weeks with 8 weeks of online and 8 weeks of on-campus training. The course will end with an examination for a Microsoft Azure certification which will be a valuable addition to your CV.   

The course will start with an introduction to Cloud Systems, working with the Azure Cloud platform from first principles. We will then move on to Data Analytics elements focussing on data management, cleaning, wrangling and presentation. The on-campus sessions will teach learners how to apply machine learning and cutting-edge AI modules.  

What will I learn?  

You will learn a range of data skills during this course which you will be able to replicate in industry on various related projects. The skills include:  

  • Ability to manage, store, manipulate and clean datasets for analytics projects. 
  • Ability to implement data science principles to analyse and report findings for simple datasets.  
  • Ability to implement AI models to create a conversational AI system in Microsoft Azure .
  • Ability to implement an image recognition AI system in Microsoft Azure. 

Every week will include an individual or group project, motivated by industry, which targets a core data or AI area. This will end with a group or individual presentation at the end of the week to demonstrate work, discuss findings and to build up the learner’s portfolio to support employability. 

Facilities and Staff

Our Facilities

We are constantly investing in our estate and are currently in the process of spending £340 million on new learning facilities. This course will be taught at Millennium Point at the City Centre Campus.

As a student at the School of Computing and Digital Technology, you have access to networked laboratories equipped to industry standards and running the latest software, giving you the best possible introduction to the technologies you will encounter in the world of work.

Dedicated facilities are provided for systems analysis, computer networks, programming in a wide range of languages, artificial intelligence, modelling and visual programming, e-commerce and .net environments, and business intelligence, as well as supporting the application areas of mechatronics, games technology, electronics and computer forensics.

Computer networking

The laboratories are well-equipped for all our computer networking courses, as well as specialist areas for practical work such as voice-over internet protocol (VoIP), forensic and ethical hacking technologies, wireless and mobile technologies and radio frequency identification technologies to name but a few.

Software development and computer programming

There are a number of open access, software development and computer programming
laboratories that can be used to develop systems and programmes, including database management systems such as MySQL, to name but a few.

Systems laboratories

Our embedded systems laboratories are used to develop real-time systems, such as specialist hardware training and development resources, and industrial-standard software development and simulation tools. These include microcontroller software and robotics design and development, to name but a few.

Electronic Systems

Electronic systems

To underpin the basic principles of electronic systems, we have a well-equipped laboratory of general and specialist test and measurement kits, including powered prototyping development boards, dual power supplies, frequency generators and counters and digital multi-meters to name but a few.

Forensic computing

Our successful development of forensic computing has led to a specialist forensics laboratory that is fully equipped with essential hardware and software for this sensitive area of study. The laboratory includes high-spec PC’s with built-in multi interface Tableau write blockers, EnCase and FTK computer forensic software and steganography detection and analysis software, to name but a few.

More on our facilities

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