Course description
Data Analytics and Social Statistics - MSc, PGDip
The field of data analytics is developing rapidly. With the rise of ever larger and more specialised datasets, it’s essential to understand how to collect, handle, evaluate and interpret data to unleash its true potential.
Through studying this fully online, part-time course, you will learn to process and analyse complex social data effectively, improving your skills and professional outcomes in the process.
Leveraging real-world data and R software, this practical course will ensure you learn applicable techniques to take into the workplace.
Suitability - Who should attend?
If you are interested in upskilling and discovering the power of data for predicting trends and improving outcomes, this course is ideal. Data Analytics and Social Statistics is designed for any professional working in an industry which uses big data and social data. It is multidisciplinary, using methods that are applicable and relevant in diverse fields, from education, health, and business analytics, to public, private and non-profit sectors such as charities and NGOs.
Whether you have a background in data analytics or are looking for a big data course to gain this knowledge, this course offers a thorough grounding in this exciting field. Incorporating data collection, analysis, and presentation, with acknowledgement of big data and machine learning, this course will ensure you are at the forefront of developments in social data analysis.
This course is suitable for both working professionals who already work in this field and those who wish to change careers. Extensive experience in big data or heavy mathematics skills are not required. If you do not have professional experience in data analytics but have a strong background in social sciences, you can use this course as a conversion to transition into a new vocation in this dynamic field.
Outcome / Qualification etc.
- MSc (180 credits) - to achieve a Master of Science, you need to complete six 20-credit units, a mandatory 20-credit RSiP unit, and a 40-credit dissertation project
- PGDip (120 credits) - to achieve a PG Diploma, you need to complete six 20-credit units
Training Course Content
1. Data Cleaning and Visualisation Using R (20 credits)
2. Introduction to Statistical Modelling (20 credits)
3. Data Science Modelling (20 credits)
4. Survey Methods and Online Research (20 credits)
5. Multilevel and Longitudinal Analysis (20 credits)
6. Demographic Forecasting (20 credits- Optional Unit)
7. Structural Equation Modelling (20 credits)
8. Research Skills in Practice (20 credits- Mandatory for MSc students)
9. Project (40 credits- Mandatory for MSc students)
Course delivery details
This course is 100% online, allowing you to study with The University of Manchester from anywhere in the world. You can learn flexibly at a time and pace that suits you. You will gain access to the University’s quality teaching, benefiting from the expertise and reputation of our School of Social Sciences, ranked 5th in the UK (The Times Higher Education Guide 2022).
All course material is available through the virtual learning environment (VLE) and includes video, assessments, workbooks and more. You will also benefit from interactive teaching and the chance to collaborate with your course peers from your global community.
Duration:
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MSc - 27 months, part-time
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PGDip - 18 months, part-time
Why choose The University of Manchester
Leading International University, ranked 6th in the UK and 27th globally
Applied & practice-based learning, taking new skills into the workplace immediately
Meet with global experts & build your professional network
Expenses
September 2023 tuition fees (UK/EU/International):
- MSc, £15,500
- PGDip, £10,333
You can save up to 15% on your tuition fees. Please see our fees and funding section below for more details.
We offer payment by instalments, so you can spread the cost of studying with us.