Pre-Master in Information and Computer Science (One-Semester) Leading to Master of Science in Data Science and Analytics Navitas Group - Brunel University London Pathway College, UK

A postgraduate pathway is a single course comprising two stages of study; Pre-Master’s and Master’s. When you successfully complete the full pathway you will be awarded a Master’s degree from London Brunel International College (LBIC).

Advantage of London Brunel International College (LBIC) Postgraduate Pathway

The postgraduate pathway is designed for students from a variety of backgrounds who:

• Require additional English language training
• Come from a different academic environment to that of the UK
• Have been away from studies for a period of time
• Are looking to fine-tune skills already gained during undergraduate studies, employment or both

If you fall into any of the above categories, choosing the postgraduate pathway at London Brunel International College (LBIC) is the right decision.

The Pre-Master’s pathway will prepare you for future postgraduate studies by giving you confidence and expertise in areas relevant to your taught Master’s degree. You will:

• Develop your fundamental knowledge and understanding of the basic principles relevant to your chosen degree
• Develop basic numerical techniques, research methodologies and ICT, presentation and communication skills
• Gain a competent set of transferable skills that will help you in your academic studies and future career, and enable you to make informed decisions
• Attain the necessary level of language competence specific to your chosen field of study.

Pre-Master's (Stage 1)

A postgraduate pathway will give you valuable insight into postgraduate-level studies in the UK. Most importantly, It will equip you with the appropriate knowledge and skills you need to excel in your chosen taught master's degree.

Data Science and Analytics MSc
From social networks, ecommerce and government through to sensors, smart meters and mobile networks, data is being collected at an unprecedented speed and scale. But big data is of little use without 'big insight'. The skills required to develop such insight are in short supply and the shortage of skilled workers in the data analytics market is cited as a key barrier to unlocking everything that data has to offer.

The Data Science and Analytics MSc programme provides these skills, combining a strong academic degree course with hands-on experience of leading commercial technology, and the chance to gain industry certification. You will develop both your critical awareness of the very latest developments in data science and the practical skills that help you apply data science more effectively in a wide variety of sectors including finance, retail and government.
You’ll gain knowledge of key concepts and the nuances of effective data analysis. You’ll gain confidence in your own critical understanding of the challenges and issues arising from taking heterogeneous data at volume and scale, understanding what it represents, and turning that understanding into insight for business, scientific or social innovation. You’ll develop a practical understanding of the skills, tools and techniques necessary for the effective application of data science.
The course is designed to offer you the opportunity to gain hands-on experience in several data analytics tools (e.g. Hadoop, Spark, Tableau), programming languages (R, Python) and machine learning libraries.
A series of sessions in Python is offered to support students who are less familiar with programming.
You will also have the opportunity to obtain an SAS certificate such as SAS Base Programming, which is a recognised industry qualification, following a two-week SAS certification ‘boot camp’.
If you don’t want to commit to full or part-time study of the entire MSc, you can develop your educational portfolio over a longer period of time by undertaking staged study that leads to the award of Postgraduate Certi?cate (PGCert in Data Science), Postgraduate Diploma (PGDip in Data Science and Analytics) and Data Science and Analytics MSc in separate stages.
The roles that our graduates are typically recruited to within these organisations include analytics consultant, big data engineer/scientist, business analyst, clinical data scientist, data design specialist, data scientists, developer/development engineer, enterprise/technical architect, forecast analyst, marketing/customer and/or insight analyst, quantitative analyst and web analyst.
Brunel’s Women in Engineering and Computing mentoring scheme provides our female students with invaluable help and support from their industry mentors.