Course description
MSc Applied Data Analytics Level 7 Apprenticeship
The MSc Applied Data Analytics combines technical data skills with business acumen, along with the ability to present information in an effective way. It is designed to develop your professionals and future leaders to address business problems, achieve strategic goals and transform organisations using data-driven decision making.
This programme is aimed at employees in your business who work with large volumes of data. It offers a fantastic opportunity for managers and future leaders who can underpin their decisions using insights.
Even today, many firms are unable to capitalise on the information within their business due to a shortage of experts with specialist or technical data skills. Employees across an organisation are now exposed to greater volumes of data, but often lack the expertise to analyse and generate insights that inform their decisions.
Our Master’s degree programme in Applied Data Analytics directly addresses this growing skills gap. Your employees will learn the technical skills that enable them to work with complex data architectures including programming, big data, advanced analytics and cloud technologies, in addition to AI, machine learning and robotic process automation.
Do you work at this organisation and want to update this page?
Is there out-of-date information about your organisation or courses published here? Fill out this form to get in touch with us.
Upcoming start dates
Suitability - Who should attend?
Set by individual employers, but must include one of the following:
- A minimum of a 2:2 Honours degree in a related subject (e.g. STEM) from a UK or recognised international university; or
- A minimum of a 2:1 Honours degree in a non-related subject from a UK or recognised international university; or
- Applicants with less than the required level of academic qualification may be considered if they have significant work experience and/or a relevant professional qualification in the field of data analytics
Outcome / Qualification etc.
What will your employees learn?
- Advanced Data Analytics
- Languages, Code Libraries and Programming Tools
- Machine Learning Algorithms
- Analytic Modelling and Visualisation
- Big Data Architectures and Analytics
- Discovering Insights from Data to Inform Decision-Making
- Applied Techniques of Data Mining and Machine Learning
- Deep Learning and Neural Networks
- Fundamentals of RPA
Skills and Behaviours
- Creating ‘purple’ people in the business who can speak in business terms and can define the business requirements plus have the skill set to design the advanced data architectures
- Understand how the newly acquired data skill set is applied at a more strategic level, transforming data into knowledge and insight that drive decisions and direction
- Clear articulation of findings in a form that resonates with senior stakeholders, enabling organisations to deliver real improvement and change
- Effective leadership through the digital revolution. Inspire, motivate and lead others to deliver excellent technical solutions and outcomes
- Results and outcomes driven to achieve high key performance outcomes for digital and technology solutions objectives
- Promote a high level of cooperation between their own work group and other groups to establish a technology change-led culture
- Creating strong positive relationships to produce high performing technical teams
Qualification achieved
Master of Science in Applied Data Analytics awarded by BPP University
Training Course Content
Months 1-4
- Programming for Data Analytics
- Emerging Technology
Months 5-8
- Big Data and Cloud
- Modelling and Visualisation
Months 9-12
- Enabling Automation
- Machine Learning and AI
Months 13-18
- Data Analytics Project
Months 19-20
- Leading and Managing Digital Change
Months 21-24
- End Point Assessment
Course delivery details
- All BPP technology programmes are delivered online live, providing ultimate flexibility and efficiency for your business
- There are eight modules in total, with two modules being delivered simultaneously each semester
- Employees are required to attend two, two-hour live and interactive lectures each week using premium virtual classroom software product, Online Classroom Live
- E-learning content that includes video lectures, digital reading and case studies delivered on the BPP learning platform
- One-to-one meetings each semester with a dedicated Coach
- Learners are required to demonstrate the ongoing application of skills to their job role and build a portfolio of evidence that supports their professional development throughout the duration of the programme