Big Data

 

 

Big_Data

 

Big Data is New MBA

Big data analytics is the process of examining large and varied data sets — i.e., big data — to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions.

Big data is being generated by everything around us at all times. Every digital process and social media exchange produces it. Systems, sensors and mobile devices transmit it. Big data is arriving from multiple sources at an alarming velocity, volume and variety. To extract meaningful value from big data, you need optimal processing power, analytics capabilities and skills.

What is changing in the realm of big data?
Big data is changing the way people within organizations work together. It is creating a culture in which business and IT leaders must join forces to realize value from all data. Insights from big data can enable all employees to make better decisions—deepening customer engagement, optimizing operations, preventing threats and fraud, and capitalizing on new sources of revenue. But escalating demand for insights requires a fundamentally new approach to architecture, tools and practices.

 

Big data analytics benefits
Driven by specialized analytics systems and software, big data analytics can point the way to various business benefits, including new revenue opportunities, more effective marketing, better customer service, improved operational efficiency and competitive advantages over rivals.Big_Data

Emergence and growth of big data analytics
The term big data was first used to refer to increasing data volumes in the mid-1990s. In 2001, Doug Laney, then an analyst at consultancy Meta Group Inc., expanded the notion of big data to also include increases in the variety of data being generated by organizations and the velocity at which that data was being created and updated.

 

MSC IN DATA SCIENCE AND BUSINESS ANALYTICS

Programme Modules

The programme comprises of 14 coursework modules including Research Methodology and a Capstone Project which is covered over a 3 semester study process. Each semester is 12 weeks. There are 11 compulsory Core Modules and you will have to choose 3 electives from those listed.

Semester 1
Big Data Analytics & Technologies
Data Analytical Programming
Data Management
Business Intelligence Systems
Behavioural Science, Social Media and Marketing Analytics

Semester 2 
Advanced Business Analytics and Visualization
Applied Machine Learning
Research Methodology
Multilevel Data Analysis
Multivariate Methods for Data Analysis

Semester 3
Capstone Project
Optional Modules* (choose 3 only)
Natural Language Processing
Operational Research and Optimisation
Time Series Analysis and Forecasting
Strategies in Emerging Markets

 

Graduates will be equipped with knowledge, skills and experience in three major dimensions: Strategic and Commercial applicatio, “hands-on” ICT skills and Statistics & Analytics. The programme is not merely analytics-oriented, but develops the ability to use analytics to drive key success metrics related t yield management and revenue generation in practically any business domain. There is a tremendous requirement for Data Scientists and Big Data Specialists worldwide now and in the future, with hundreds of thousands of new job opportunities emerging globally. In Malaysia alone, by the year 2020 this need is expected to reach atleast 15,000 professionals.

The Benefits of This Programme

On successful completion of this programme, you will be able to :

In addition to the degree award, a Joint Professional Certification will be offered by SAS Institute, USA.
30% of the curriculum will allow for mini industrial projects assessed as in-course work allowing for practical skills development in Data Analytics.
The curriculum covers a wide range of subject matter from Analytical Technologies, Exposure to tools such as R & SAS Modelers, Data Visualization, Customer/User Behavioural Studies, Forecasting Methods and to Presenting the Business Intelligence reports.
Industrial Final Semester Capstone Project from top IT firms such as Hilti Malaysia, IBM, Maxis, InfoPro, EMC, BIIT Consulting and Fusionex.
External Programme Annual Reviews by experts from University of South Australia (UniSA).
Programme Support by an Industry Advisory Panel involving data analytical experts from Petronas ICT, RedTone, SharePoint, CyberSecurity Malaysia, Maxis, IBM, Microsoft and Xtrategize.
Research opportunities via APU’s Centre of Analytics – APCA.

Big Data is the Future

Call : 7666 377 377 for more information

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