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IoC Skills Bootcamp: Data Science and Cloud Systems

Currently viewing course to start in 2021/22 Entry.

This free 16-week online course will upskill and expand your knowledge in Data Science and Cloud Systems. Whether you are currently working in digital and are looking to upskill, or if you are looking to learn new skills in data science and cloud systems - this flexible course can be studied around other commitments to prepare yourself for the next step in your career....

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 February 2022
  • School School of Computing and Digital Technology
  • Faculty Faculty of Computing, Engineering and The Built Environment

Overview

This free 16-week online course will upskill and expand your knowledge in Data Science and Cloud Systems. Whether you are currently working in digital and are looking to upskill, or if you are looking to learn new skills in data science and cloud systems - this flexible course can be studied around other commitments to prepare yourself for the next step in your career.

Data is changing the world and there is a surge in demand for data scientists who can get valuable insights and information from a range of different sources. This is why the Institute of Coding (IoC) has developed this course to upskill and train more people from a range of backgrounds with competent data skills. 

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. 

Introducing STEAMhouse

STEAMhouse is a centre for technology, innovation, creative thinking

Our brand new £70 million pound building, STEAMhouse, will become the new home for the School of Computing and Digital Technology from the start of the 2022 academic year.

Find out more

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. 

Studying with us during the Covid-19 pandemic

The University has put in place measures in response to Covid-19 to allow us to safely deliver our courses. Should the impact of the pandemic continue in future years, any additional or alternative arrangements put in place by the University will be in accordance with the latest government public health advice, health and safety legislation, and the terms and conditions of the student contract.

Fees & How to Apply

The University reserves the right to increase fees in line with inflation based on the Retail Prices Index or to reflect changes in Government funding policies or changes agreed by Parliament up to a maximum of five per cent.

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

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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: 22 February 2022

  • Flexible learning
  • 16 weeks live-online sessions
  • Access to on campus labs and support
  • Location: Online, with access to facilities at our City Centre Campus if required 

Course in Depth

The Data Science and Cloud Systems Bootcamp is a flexible 16-week online course that can be studied around commitments. All sessions will be recorded for you to re-watch in your own time if you cannot make live sessions and you will have access to on-campus support and facilities. 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 & Staff

Computing facilities two
Computing facilities three
Computing facilities four

Our Facilities

As a student in the School of Computing and Digital Technology, you will have access to our labs, software, professional sound studios, computer games labs and industry-standard facilities to develop your practical skills in audio, video and multimedia application development, content creation and more.

We are currently undertaking a £340 million investment programme in our facilities, including a major expansion of our City Centre Campus. This includes our brand new £70 million development, STEAMhouse, which will be the new home to Computing and Digital Technology students. This state-of-the-art centre will give you access to outstanding facilities and equipment, as well as opportunities to collaborate with businesses across multiple sectors and work on real industry-based projects.

Our facilities in Millennium Point have undergone a £6.5million investment with a new maker area, engineering labs/equipment and IT equipment.

Thanks to our partnerships with Cisco, Microsoft, Oracle, Juniper, SAS and LPI you will have access to the latest technology and facilities that reflect advanced professional practice. Our students also have access to software such as the Adobe Suite including Photoshop, InDesign and Illustrator.

Computing and Digital Technology facilities

Enquiries

To inquire about this course, please email cebeenterprise@bcu.ac.uk.