Download MSc Applied Data Analytics

MSc Applied Data Analytics
Faculty of Science and Technology
Introduction
The amount of data generated and acquired by businesses and organisations every year is growing at an unprecedented
rate. Automatic data acquisition and storage e.g. through website tracking, loyalty programs, industrial process
monitoring or medical records have never been so cheap and easy. The new challenge the businesses and organisations
are now facing is how to utilise this big data to its full potential and how to discover and extract knowledge in order to
optimise their activities and use of resources, as well as gain a competitive edge.
Duration:
Overview
1 year full-time (2 years with optional work placement),
2-5 years part-time
There is a substantial amount of research in the area of
intelligent computer systems. Further development in
this field however strongly depends on the availability
of highly qualified professionals able to harness the
recent big data wave. Specialists with relevant
expertise and knowledge of advanced tools and
technologies, as well as the ability to understand and
implement state-of-the-art solutions are needed in
order to address practical problems that businesses
and organisations are already facing and will face in the
future.
Start Date:
September
Entry Requirements:
An Honours degree with a minimum of a 2:2 or equivalent
Applicants are encouraged to provide details of relevant
work experience.
Normally, the minimum qualification for entry to this
course is a second class honours degree in a scientific or
numerate discipline. Graduates from other disciplines
who feel that they have other skills to bring to the industry
are encouraged to apply.
If English is not your first language:
IELTS (Academic) 6.0 or equivalent.
Contact askBU:
Tel: 08456 501501 (BU does not profit from this service)
Tel: +44 (0) 1202 961916 (UK and International/EU
alternative number)
Email: [email protected]
Open Days
Log on to: www.bournemouth.ac.uk/opendays
For more course information
www.bournemouth.ac.uk/courses/MSITF
To address the shortage of qualified professionals in
the areas of data analytics and data science,
Bournemouth University has partnered with SAS
Institute to offer the Applied Data Analytics (ADA) MSc.
ADA graduates will not only excel in solving complex
data science related challenges, they will also have a
working knowledge of latest tools, including SAS. The
course also offers a unique opportunity to prepare for
SAS certification: SAS Certified Base Programmer for
SAS and SAS Certified Predictive Modeler Using SAS
Enterprise Miner 7. The aim of this course is to train
data and business analytics professionals that can help
their employers climb the pyramid of analytical literacy
and to equip graduates with the skills to gain
competitive advantage based on analytical insight into
the business, scientific and other types of data.
This course is taught through a mixture of hands-on
content and material in the form of lectures given by
experts in their respective areas. The course provides
an excellent opportunity to enter the dynamically
expanding area of predictive analytics and data
science, making the graduates an attractive and
valuable asset for their current and future employers.
Year 1 / Level M






Data Mining & Analytic Technologies
Advanced Data Management
Research Methods & Professional Issues
Individual Masters Project
SAS Programming
Optional Placement in Commerce/Industry
Optional units: choose 2 of the following:




Business Intelligence
Analytics for Data Streams
Web Mining and Analytics
Big Data and Cloud Computing
Core Units (compulsory)
Research Methods & Professional Issues (20 credits)
Research requires a structured and disciplined approach at
all stages. We will help you to develop key research skills in
many areas from project proposals and planning to critical
analysis of research findings, academic writing and
dissemination. We will also ensure you give due
consideration to professional standards and ethical issues in
your research.
Advanced Data Management (20 credits)
Data management is part of any modern real-world
application especially those which are data-driven. We will
help you develop a deep understanding of data modelling,
design, implementation, and use of data-driven systems, as
well as evaluate current trends in database related
technologies.
Data Mining & Analytic Technologies (20 credits)
Many businesses heavily rely on data mining and exploration
techniques to better understand the market and behaviour of
their customers in order to plan ahead and make more
informed decisions. You will learn about tools and techniques
of data mining and analytics, and have an opportunity to
apply them to real world problems in various application
settings like fraud detection, customer profiling and more.
SAS Programming (20 credits)
SAS Institute is a world-leading supplier of data analytics
software and a partner in this Masters programme. This unit
offers you the opportunity to discover some of the most
popular SAS tools and development frameworks. You will
learn how to program using SAS 4GL language, which will
familiarise you with the technologies used by major SAS’s
customers. You will also have a chance to earn a highly
regarded, official SAS Institute Programming Certificate.
Optional Units : choose 2 of the following
Business Intelligence (20 credits)
Vast amounts of data about company’s customers and
operations is routinely collected and stored in large corporate
data warehouses. This data can be of immense value if
properly analysed. In this unit you will explore a suite of
techniques and tools for data preparation, analysis and
effective presentation of the results to non-technical and
managerial staff, in alignment with business strategies.
Analytics for Data streams (20 credits)
In real world data-intensive applications the data is
arriving in a continuous stream and usually cannot be
accumulated before processing. This on-line setting
requires special techniques to efficiently analyse
incoming data on the fly. Sensor networks, manufacturing
industry or surveillance are just a few examples of
streaming data sources. In this unit you will learn how to
efficiently process streaming data using a number of
state-of-the-art stream exploration, analysis and mining
techniques.
Web Mining and Analytics (20 credits)
Web mining has emerged as one of the most attractive
areas in applied research. It spans a large spectrum of
topics such as information retrieval, topic detection, social
community analysis, etc. You will gain extensive
knowledge and systematic understanding of Web and
social network analysis together with a critical awareness
of current problems informed by practical experience of
Web modelling and mining.
Big Data and Cloud Computing (20 credits)
Big data can be currently encountered in numerous
domains and applications. Analysis of large amounts of
data requires special methods to cope with its volume,
variety and velocity. We will help you to familiarise with
methods, tools and technologies associated with big data
analytics. You will be trained in using the latest state-ofthe-art technologies like NoSQL databases, Hadoop and
MapReduce.
Research Project (60 credits)
The Research Project provides you with an opportunity to
undertake a significant piece of self-managed research in
a relevant area of particular interest. Your project will
allow you to engage with a complex, real-world problem
where you may combine different methods and tools.
Optional industrial placement
If you choose to take this opportunity, you will gain
experience of working within an appropriate professional
environment in line with the BU employability strategy.
Please note
The University reserves the right to introduce changes to the
information given, including the addition, withdrawal, re-location or
restructuring of courses.
Last updated April 2014