If you are a dashboard genius who can read covert insights into strategy and use numbers for storytelling and future forecasting, then you’re a boardroom Midas. It’s a bigger win if you’re using that knowledge to charm customers, draw more business and provide jaw-dropping business insights that spell PROFIT. An MBA in Business Analytics has opened doors to interesting career possibilities like Business Analyst, Data Analyst, Financial Analyst and more.
Why does it matter?
Simply put, business analytics maps consumer behaviour from tracking and suggesting their favourite online brands, online OTT content, preferred booklists and more. An
MBA in Business Analytics is the meeting point of business strategy, data science and a new age leadership. It’s the art of number crunching to draw actionable insights. Basically, you master leadership, marketing finance, operations, data tools, predictive analytics alongside ethics and governance to be an all-rounder corporate honcho.
Huge strides in machine learning, AI, Cloud Computing & real time data processing are expected to skyrocket this sector to USD $970 billion by 2030.
Besides raking big bucks ranging from Rs 6 Lakh -Rs 20 lakh annually, this specialisation promises exciting new skill upgrade, learning and insights on-the-go. Meaning any role in this sector will be boredom-free and it will always have something new to offer. Here are some additional insights
- Outclass Robots- Of course AI is unmatched. But humans still have the upper hand. Strategic interpretation is about experience, human skill and asking the right questions. It’s a significant edge over any machine and guaranteed to make you relevant.
- Industry whiz- You will be the Jack-of-all-trades, literally! Knowledge of both business strategy and data means that you can work in multiple sectors from e-commerce, technology, finance, entertainment and others. And won’ have the pink slip sword hanging on your head.
- Thumbs-Up to Data Driven leaders- Anyone who can read numbers, patterns and lead businesses and the world will be on the top. Leaders with these specialities will enjoy an added advantage over generalists.
Top Careers
- Business Analyst: This analyst collates and analyses data to strategize the success for organisations and set off a process of a more informed decision making in business.
Skills: Statistical Knowledge SQL and database management. data visualisation and familiarity with tools like Power BI.
- Data Scientist: Expertise with numbers, patterns and storytelling and is critical for businesses.
Skills: Proficient in machine learning, programming (with languages like Python, Julia, SQL). Knowledge of cloud engineering and data integration tools.
- Data Analyst: Analyses trends and helps businesses take more strategic decisions.
Skills: Knowledge of Machine Learning, Data visualisation, programming languages like Python.
- Financial Analyst: Analyses numbers, financial statements and models to facilitate strategic decision making to guide businesses.
Skills: Knowledge of data analysis using SQL, Python, proficient at mathematics, software, accounting.
Amity Edge
- Curriculums with Corporate Accent: What’s trending, what do people want, new roles and careers, workplace skills and futuristic skills are also honed.
- Innovation Playground: Our labs which are equipped with globally competitive machines and technology. Besides technical prowess, you will pick up in-demand skills like leadership, teamwork, risk taking, risk management, agility and flexibility.
- Golden Visa to Careers: Be battle ready for any career you choose, learn networking with soft skills and tech edge.
- Toolkit for a Byte Hero: Students are encouraged to have a design thinking mindset by unearthing every possible solution or innovation to tackle real-world challenges through industry-live projects.
- Placements: Amity’s placements create benchmarks every year from garnering Rs 2 crore annual job package to placement in 500 corporates in campus recruitment including top Fortune 500 employers.
Conclusion
As one of the fastest growing and popular fields, Business Analytics is expected to lean towards higher data quality and enhanced security. As a career option, it’s an evergreen choice where growth spurs the future.
FAQs
1. What’s the difference between Data Science and Business Analytics?
Data Science uses predictive models to solve complex problems and uncover new things. Business Analytics analyses past performance and uses that structured data to improve business performance.
2. What is the eligibility criteria for an MBA in Business Analytics?
You need a graduate degree with a minimum of 50% aggregate marks and a good score on a national or Amity entrance exam, like CAT, MAT, GMAT, or CMAT.
3. How is business analytics applied in the real-world scenario?
It’s used for decision making, improving efficiency and inventory optimisation, understanding and predicting consumer behaviour and financial risk management.
4. What are the key skills and tools learnt in Business Analytics?
Key skills entail statistical analysis, data visualization, business acumen, and communication. Data visualisation tools like SQL, Excel, R and others form technical skills.
5. What are the new-age careers in Business Analytics?
Data Architect, Chief Data Officer, Operations Analyst, Management Consulting, AI Product Manager are some key roles.
