Data is king. With businesses relying on data more than ever before for every business decision, the scope for experts in handling data and helping businesses derive the right conclusions is only set to rise. And with this, the demand for Business Analytics Programme, the programme which creates these experts, is also set to increase. Manav Rachna University has responded to this demand and has created a specially designed curriculum- MBA Business Analytics, in association with The Institute of Analytics (IoA).
Manav Rachna University 2024-26 Registrations are Open
How Business Is Done and Understood Using Analytics
Data analytics has become integral to how a business is run because it gives the leadership a chance to formulate evidence-backed strategies and gain new insights into various aspects of business.
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-With data analytics, a business can get crucial information about its target audience such as preferences, needs, purchasing behaviour. -A business can learn about the market trends and patterns and customize products and services accordingly. |
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-A business can make better-informed decisions faster and save resources. -Business leaders can use the data to be proactive in identifying new opportunities and get an edge over its competitors. |
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- Using data such as customer trends, spending patterns to understand customer behaviour, a business can take better marketing decisions. -Customized advertising campaigns can help a business meet and exceed customer expectations and boost brand loyalty. |
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- Customer data and feedback can also help a business minimize risks and improve efficiency. -A business can identify underperforming operations and rectify those using data analytics. |
Business Analytics at MRU-What You Gain?
Looking at how crucial Business Analytics has become to businesses, Manav Rachna University has designed a special course both at the Bachelors level as well as the Masters level. These courses equip the students with data-handling and decision-making skills. At Manav Rachna University, you gain hands-on training on different analytical techniques in addition to the following:
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Dual qualification- one from Manav Rachna University the second from IoA, United Kingdom.
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Blended learning from professional trainers.
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State-of-the-art data analysis tools such as R, Python and Tableau and Excel-based modelling.
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Continuous Evaluation System to assess students and provide regular feedback.
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Practical, student-centric approach.
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Experiential learning through live projects, internships, industry visits, case studies, seminars and guest lectures.
Decoding Key Types of Business Analytics
The three key elements of Business Analytics are:
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Descriptive Analytics |
Diagnostic Analytics |
Predictive Analytics |
Prescriptive Analytics |
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Process |
Helps compile existing data to study past and present events. |
Helps shift focus from past to present events. |
Helps ascertain the probability of future events. |
Helps recommend the best course of action to achieve desirable outcomes. |
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Techniques Used |
Data aggregation and mining techniques. |
Data discovery, data mining and drill-down. |
Statistical models and machine learning techniques. |
Robust feedback mechanism and continuous iterative analysis. |
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Utility |
Identification of strengths and shortcomings, insight into customer behaviour. |
To explain why events happen and identify elements that influence trends. |
To understand customers’ sentiments and perspectives. |
To discover the links between acts and their consequences. |
Navigating Careers in Business Analytics
A business analyst acquires the following skill sets:
Armed with these skill sets, a plethora of career opportunities open up for graduates of the Business Analytics course. Some of these options are:
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Data Scientist
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Quantitative Analyst
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Consultant
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Big Data Engineer
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Financial Analyst
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Marketing Analytics Manager
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Machine Learning Engineer
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Analytics Associate Metrics
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Business Analyst Specialist
Manav Rachna University offers a robust ecosystem to pursue Business Analytics. Students benefit from its focus on conceptual knowledge in multiple disciplines of analytics and its hands-on approach to solve business analytic problems.
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