In today’s rapidly evolving business landscape, the demand for professionals skilled in business analytics and data science is at an all-time high.
Companies across various industries are increasingly relying on data-driven insights to inform strategic decisions, enhance operational efficiency, and gain a competitive edge.
As a result, pursuing a Postgraduate Diploma in Management, specifically in Business Analytics & Data Science, can pave the way for a future-proof career. In this blog post, we will explore some best practices for success in the field of business analytics and data science.
Understanding PGDM in Business Analytics and Data Science
Before delving into the best practices for success in business analytics and data science, it is essential to have a clear understanding of the landscape. Business analytics involves the use of data, statistical analysis, and predictive modeling to drive informed decision-making.
On the other hand, data science focuses on extracting insights from complex and unstructured data sets using a combination of tools, algorithms, and machine learning techniques. By pursuing a PGDM in Business Analytics & Data Science, you will gain the necessary skills and knowledge to excel in these domains.
PGDM in Business Analytics & Data Science: Course Highlights
Here’s what makes this program unique and valuable:
| Parameters | Details |
| Course Name | PGDM in Business Analytics and Data Science |
| Duration | 2 Years |
| Eligibility | Graduate in any stream with 50% marks |
| Admission Process | Based on the merit list, the interview selection process |
| Key Skills | Data Analysis, Statistical Modeling, AI, Machine Learning, Business Strategy, Data Visualization |
| Fees in INR | 5,000 to 1,00,000 |
| Top Job Roles | Business Analyst, Data Analyst, Data Scientist, Marketing Analyst |
| Top Recruiters | Deloitte, IBM, PwC, Accenture, TCS, Wipro, KPMG, Amazon |
| Salary Range in INR | 4, 00,000 to 20,00,000 |
Please Note: The fees and salary mentioned above are subject to change over time.
PGDM in Business Analytics & Data Science: Objectives of the Program
The program is designed to equip students with analytical, technical, and strategic decision-making skills essential for modern business environments.
Objectives of PGDM in Business Analytics
- Master core and advanced business analytics techniques
- Formulate and solve business problems using data models
- Apply historical, variance, and value-based analysis
- Utilise machine learning and AI models for predictive decision-making
- Integrate Business Analytics with Business Intelligence tools for strategic advantage
Objectives of PGDM in Data Science
- Build strong foundational knowledge in data analytics and statistics
- Train students in programming tools and platforms used in data science and ML
- Enable learners to analyse and interpret large datasets across business domains
- Develop expertise in machine learning techniques such as regression, classification, and clustering
- Foster critical thinking for data-driven decision-making in business and technology environments
- Prepare students for high-demand roles in analytics, consulting, IT, finance, and more
PGDM in Business Analytics and Data Science: Understanding Course-Curriculum
The syllabus is designed to ensure that students understand both the analytical tools and business applications. Common subjects include:
- Business Analytics Fundamentals
- Data Mining and Predictive Modeling
- Machine Learning and Artificial Intelligence
- Big Data Analytics
- Database Management Systems
- Statistics for Decision Making
- Data Visualisation Tools (Tableau, Power BI)
- Business Communication & Strategy
- Marketing & Financial Analytics
By the end of the course, students will be able to handle real-world data and confidently make impactful business recommendations.
PGDM in Business Analytics & Data Science: Eligibility and Fee Structure
When considering an opt-in PGDM in business and data science, it is essential to have a clear understanding of the eligibility criteria and fee structure.
Eligibility Criteria: Bachelor’s degree in any discipline from a recognised university with a minimum of 50% marks.
PGDM in Business Analytics and Data Science Fees: The PGDM in Business Analytics and Data Science is INR 74,000.
Career Opportunities After PGDM in Business Analytics & Data Science
One of the most significant advantages of this course is its relevance across multiple industries. You’re not limited to one domain — your skills are transferable across sectors.
-
Business Analyst
Business Analysts act as a bridge between management and technology. They identify problems, analyse data, and recommend solutions that align with company goals.
Avg. Salary in INR: 9,00,000
-
Data Scientist
Data Scientists use advanced algorithms, AI, and machine learning to predict trends and help businesses make future-ready decisions. This role is one of the most in-demand positions globally. Pursuing a PGDM in data science will give you a competitive edge in securing a role such as a data scientist, offering a potential salary package.
Avg. Salary in INR: 16,00,000
-
Marketing Analyst
Marketing Analysts study consumer behaviour, campaign effectiveness, and sales patterns to help brands optimise their marketing efforts.
Avg. Salary in INR: 12,20,000
-
Financial Analyst
They utilise data to forecast company performance, assess investment opportunities, and enable businesses to manage financial risks efficiently.
Avg. Salary in INR: 8,00,000
-
Operations and Supply Chain Analyst
These professionals improve business efficiency by analysing logistics, inventory, and supply chain performance through data insights.
Avg. Salary in INR: 7,00,000
Please Note: The salary mentioned above is subject to change over time.
Why a PGDM in Business Analytics & Data Science is Future-Proof?
In today’s data-driven world, pursuing a PGDM in Business Analytics & Data Science opens doors to a future full of opportunities. Let’s understand briefly from the points listed below.
- Organisations are generating massive amounts of data, as decisions now depend on analytics.
- A PGDM combines business understanding with technical skills, enabling graduates to solve real-world problems (not just build models).
- Cross-industry demand, including finance, healthcare, retail, e-commerce, manufacturing, and government, all require analytics talent.
- Rapid technology change makes continuous learners valuable; a structured PGDM in data science and business analytics gives both foundations and pathways for upskilling.
- There are vast career opportunities for business analytics and data science professionals, including Business Analyst, Data Scientist, Marketing Analyst, Financial Data Manager, Risk Analyst, and Operations Analyst, among others, which are in high demand in the job market and offer promising salary prospects to deserving candidates.
Why is Choosing the Right Institute Important?
In India, if you prefer to do PGDM, there is only one renowned university among all that is Symbiosis Centre for Distance Learning (SCDL), which offers quality education and prepares you for a future-proof career in the field of business analytics and data science.
Choosing SCDL for the PGDM in Business Analytics & Data Science course will preferably offer you:
- Strong industry connections
- Experienced faculty
- Emphasis on practical, hands-on learning
- Good placement records
Conclusion
A PGDM in Business Analytics & Data Science is more than just a qualification; it’s a pathway to a future-proof career in a rapidly evolving digital economy. With the right skills, continuous learning, and strategic career moves, you can build a sustainable, high-paying career that remains resilient amid technological changes.
If you are passionate about data, eager to solve complex problems, and ready to adapt, this program promises a promising future filled with opportunities and growth. Take the leap today and position yourself at the forefront of tomorrow’s data-driven world.
