Year | Name | Fees | Total |
---|---|---|---|
1st Year | Tution Fee | CHF 17500 | 17500.0 |
6th Month | Tution Fee | CHF 8750 | 8750.0 |
Starting Date | Application Deadline | Status |
---|---|---|
2023-11-01 00:00:00.000 | 2023-09-01 00:00:00.000 | Active |
Eligibility Requirements:
You should have completed 12 years of formal education. You may have a high school diploma / secondary school certificate or equivalent.
For more Deatils , Please click the Link below : https://rushford.ch/programs/msc-in-big-data-business-analytics/
1.Skype Interview By the India Office. If Approved, Application along with supporting documents will be processed on The Edu Network portal.
2. Application fee of CHF will be charged from the student and it will be paid by credit card only
3. Student will receive the admission offer either conditional or unconditional on his The Edu Network portal.After accepting the offer Fee invoice will be generated on student account.
4.After getting the fee invoice student can pay the fee and fee receipt can be found on The Edu Network Portal (Ten Agents).
For more Deatils , Please click the Link below : https://rushford.ch/programs/msc-in-big-data-business-analytics/
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: