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Data Science Professional Development Award

Campus OL - Open Learning/Cross Campus

Qualification SCQF Level 8

Study mode Open learning

Duration 42 weeks

Start date Aug 2022

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Course overview

Are you in a job where you are using data and want to upskill? looking for something you can study flexibly around your work, that's also free?

Do you have a degree and are looking to add Data Skills to your CV

This certificate in Data Science is delivered open learning to fit around your life and is completely free to study if you are a resident in Scotland and have been for at least 3 years

Data Science is the fastest growing Tech industry area, and all employers are looking for Data savvy professionals to join their team. Data gives insights that give businesses the competitive edge, or inspire innovation and adaptation to improve lives or processes and systems.

Data is part of every industry:

Engineering, Health and Social Care/ Marketing/ Software development/ Cyber Security, Finance and retail, to name but a few.

Edinburgh College offers many Data science qualifications in many contexts to meet your needs. This one is aimed at those in the Tech sector or that have an intermediate knowledge of Python Programming,

There are few bite-sized qualifications at the undergraduate level, so we are pleased to be offering you this Professional Development Award at SCQF level 8.

The award is made up of 4 SQA units at an undergraduate 2nd-year level.

About this Data Science Award

This course has a focus on the domain knowledge and key skills required to understand data science and its application. Edinburgh College worked directly with the SQA to develop this course and has a significant role in data education in Scotland.
This is a one-year distance learning course and runs over two semesters, this presentation runs August 2022-June 2023

  • Semester 1 Aug-Jan 2022
  • Semester 2 JanJune 2023

Tuition will stop in line with the academic holidays, for example over the October break, Christmas break bank holidays and Easter break.

What you will learn

This course has two units in each semester:
Semester 1: Programming for Data and Working with data
Semester 2: Communicating with data and a Data Science project

In the course, you will develop your analysis and communication skills to prepare you to work in a data professional role.

Help you appreciate the range of tools and techniques available for data analysis, including packages, visualisation tools, notebooks and programming languages (Python).

You will be introduced to creating data models, using large datasets, to gain insights into business data using a range of visualisations and dashboards.

Be able to create reproducible and automatable analyses of large datasets.

Apply your knowledge and skills, in a collaborative context, to the analysis of large and/or complex datasets to produce insights.

How the course is assessed

This is an online course where each group will have their own lecturer and the assessments will be released to students as each outcome of the course is delivered, assessments are in the form of coursework, programming assignments and reports.

Number of days per week

New work and tasks will be released every week, it is estimated this could require 4-6 hours per week of your time depending on your experience level.

Entry requirements

This is an undergraduate level course and it is anticipated those undertaking it will be qualified to HNC, HND or Degree level, preferably in a related subject area, Technical, Scientific, Mathematical.

The course work requires you to make use of programming and so you will need to be confident enough to make use of both Python and R programming languages without being taught the basics.

If you are unsure about the using Python and R and  you are looking for a course to introduce you to all the concepts first, we advise completing the NPA Data Science with Python and R course which runs from January to June and is also free to study for those resident in Scotland.

 

English Proficiency Requirements

IELTS 6.5

Progression and Articulation Routes

As this is a new course we do not have any formally agreed articulation pathways but the following are suggested progression routes for candidates.

  • HND Software Development
  • Entry to a data-related degree program

Career options

  • This is an ideal course for CPD for those already in employment that need to upskill in data science, computer programming for data, data visualisation or data analytics
  • Entry level data science, data analytics or business analysis roles

Study Options

Campus Study mode Start date Duration
OL - Open Learning/Cross Campus Open learning 25/08/22 42 Weeks

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