Master of Science in Big Data and Business Analytics in Rushford Business School | Fees, Eligibility and More

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Switzerland

Master of Science in Big Data and Business Analytics

Switzerland

Rushford Business School

Geneva, Switzerland

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About Course


Key information
Duration
: 18 Month
Study Type
: Full Time
Tuition fees
: 17500 CHF / Per Year
Conditional Scholarship
: NA
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Around the globe, data analytics tools, techniques, and a multitude of techniques have provided businesses alarming ways to analyse data and unravel insights. However, the volume and variety of the data have grown exponentially in the past decade owing to the various data sources (social media, e-commerce websites, digital transactions, etc.). Big data analytics has emerged as a clever way to analyse this varied and magnanimous data. This has served as a boon to businesses, as it enables them to rummage informed decisions out of the data pile.

Big Data and business analytics are critical assets for companies seeking to achieve their revenue and growth objectives through data-driven decision making. The MSc in Big Data and Business Analytics programme sought to improve understanding of big data and analytics. Therefore, instead of investing and studying in two programmes—Business Analytics and Big Data—separately, this one programme aims at integrating data at every step of making business decisions.

Big data analytics comprises advanced analytics involving intricate applications of statistical and mathematical concepts in conjunction with advanced algorithms. This upbeat and hands-on approach to business decision-making is transformative because it empowers decision-makers to make informed decisions in order to approach real-time business objectives.

The MSc programme in Big Data and Business Analytics would allow students to gain an understanding of the various data sources and enable them to study, understand, and analyse the data incurred across sources. This programme in big data analytics follows a multi-disciplinary approach at its centre, focusing on prevalent as well as evolving big data tools such as Hadoop and cloud architecture. This programme is everything one would need to make an effective career shift and delve into the world of big data analytics.

Learning Outcomes:

  • Builds the competence to assess and analyse huge amounts of data.
  • Allows students to develop an understanding of various data sources and methods to collate and clean the data.
  • Shapes the ability to question the objective and application of the data.
  • Provides knowledge of the various tools, technologies, and platforms used in the big data scenario.
  • Allows for overall growth in order to be job-ready in the big data industry.

Rushford Business School

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