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PGDM – Dual Specialization

PGDM – Data Science and Analytics

PGDM – Quantitative Finance



FAQs on PGDM in Data Science & Business Analytics at Narayana Business School

PGDM in Data Science at Narayana Business School is your gateway to the exhilarating world of data-driven decisions. Think of it as your toolkit to unravel the mysteries behind big data, understand customer behaviours, and address specific business challenges. 

Narayana Business School’s [PGDM in Data Science & Analytics](page link) is a hands-on, two-year full-time program approved by AICTE. It’s crafted especially for those spirited folks who are passionate about diving deep into the realms of Data Science & Business Analytics. 

Data Science Explained: At its core, data science is about turning chaos into clarity. It uses algorithms, stats, and tech to fish out insights from a sea of structured and unstructured data. Whether it’s predicting market trends or understanding customer quirks, data science has got you covered. 

Business Analytics is your go-to for understanding business data. It’s like having a magnifying glass that zooms in on specific business puzzles, offering solutions by analysing structured data. 

Your journey with us will be split into six engaging trimesters. The first half will get you acquainted with the essentials: core management principles, the basics of data science, and a peek into the corporate world with a summer internship. 

The latter half? It’s all about levelling up. Dive into the latest in tech, work on real-time projects, attend insightful seminars, and round it all up with a four-month industry stint. This final project isn’t just another assignment; it’s your chance to leave a mark, to show recruiters the prowess of Narayana’s training, and to step into the industry with confidence. 

 Why Opt for a PGDM in Data Science and Analytics? Taking up a PGDM in Data Science and Analytics is your ticket to a flourishing career. Why, you ask? 

Skyrocketing Demand
: The world is data-driven now. Companies, big and small, are leveraging data to make informed choices. This has led to a surge in demand for data professionals. Jump on this trend and secure your spot in this fast-paced field. 

Broad Career Avenues
: Whether it’s machine learning, predictive modelling, business intelligence, or data engineering, there’s something for everyone. Your skills will open doors to various roles, letting you pick what excites you the most. 

Attractive Paychecks
: Who doesn’t like a fat salary? With a PGDM in this field, not only do you become an asset to companies, but you also get to command a pretty impressive salary. 

Make a Difference with Data
: With data at your fingertips, you have the power to guide businesses, streamline operations, and offer innovative solutions. The potential to drive change is immense. 

: Name an industry, and there’s likely a role for data professionals. From healthcare to e-commerce, the skills you acquire are transferrable across sectors. 

Stay Ahead with Constant Learning
: The domain is ever-evolving. There’s always something new to learn, ensuring you’re always on your toes and never bored. 


Address Real Challenges: Be it predicting market trends or optimizing supply chains, data science offers tangible solutions to real-world problems. 

Ethical Role
: In a world where data is gold, ensuring its ethical use is crucial. Steer companies in the right direction by promoting responsible data use. 

Global Opportunities
: Data science knows no boundaries. With a PGDM in Data Science and Analytics from Narayana Business School, you’re prepping for a career that could take you anywhere in the world. 

Opting for Narayana Business School’s PGDM in Data Science and Analytics is more than just a degree; it’s a step towards a promising future. 


Wondering if you’re cut out for a PGDM in Data Science and Analytics at Narayana Business School? Here’s a straightforward checklist to gauge your eligibility: 

  1. Educational Background: A bachelor’s degree from a recognized university is a must. Make sure you’ve scored at least 60% or equivalent in your 10th, 12th, and graduation.
  2. On the Verge of Graduation? Those in their final year or awaiting graduation results aren’t left out! You’re welcome to apply.
  3. Field Specificity: If your bachelor’s degree is in IT, Engineering, or Statistics, you’re on the right track. This ensures you’re already familiar with some foundational concepts crucial for data science and analytics.
  4. Narayana’s Own Test – NBSAT: You should have taken the NBSAT, a bespoke management entrance exam by Narayana Business School. It’s designed to gauge aspects like mathematical prowess, general awareness, verbal skills, and abstract reasoning.
  5. Work Chronicles: While not mandatory, if you’ve dabbled in the professional world, especially in a relevant field, it could give you an edge. It’s not about the duration but the quality of your experience, showcasing your understanding of practical business scenarios.

Curious about the admissions process or need more details? Dive deep by visiting our admissions page. 

Advantages of Pursuing PGDM in Data Science and Analytics at NBS 

Contemplating a PGDM in data science and analytics at Narayana Business School? Here’s a clear snapshot of the multifaceted benefits you’ll reap: 

  1. Dive into a Sea of Opportunities: The digital age makes data science and analytics hot careers. With industries from tech to healthcare seeking data talent, roles like data analyst, business analyst, and data scientist are up for grabs.
  2. Attractive Paychecks Await: Companies value data-driven insights, translating into lucrative packages for data science professionals. Your investment in this program can potentially yield high returns.
  3. Wear Many Hats: The skill set you develop here, from data analysis to decision-making, can be your passport to diverse industries. Whether you’re eyeing finance or e-commerce, your data skills will be your key.
  4. Become a Problem Solver: Dive deep into data, unearth insights, and tackle real-world challenges. This program sharpens your analytical edge, transforming you into a solution provider.
  5. Stay Ahead with Cutting-Edge Tools: Familiarize yourself with the latest in analytics software, dive into programming languages like Python, and master machine learning models. The tech world will be at your fingertips.
  6. Never Stop Learning: In the ever-evolving realm of data science, continuous learning is the norm. This PGDM instills in you a growth mindset, ensuring you remain a lifelong learner.
  7. Decisions that Make a Difference: With the power of data, steer organizations towards success. Predict trends, make informed choices, and drive impactful strategies.
  8. Collaboration is Key: Data science isn’t a solo journey. Work with experts across domains, enhancing your team dynamics and communication capabilities.
  9. Navigate the Ethical Maze: Grapple with pressing issues like data privacy and bias. This program equips you with the awareness to ensure data’s responsible use.
  10. Grow, Personally and Professionally: Beyond tech prowess, hone essential life skills. From critical thinking to resilience, this PGDM promises holistic development, propelling your career trajectory.

Dive deep, explore more, and harness the power of data with Narayana Business School’s PGDM in Data Science and Analytics. 

Narayana Business School’s PGDM in Data Science offers an expansive curriculum, with more than 50 courses to enrich your understanding. These courses are meticulously curated to mold future data aficionados. Here’s a glimpse into some of the core subjects that form the program’s backbone: 

  1. Data Science Fundamentals: Dive into the bedrock of data science, getting a grasp of its foundational concepts and methodologies.
  2. Statistical Analysis: Explore the power of statistics. Analyse, interpret, and make sense of data to glean actionable insights.
  3. Machine Learning: Uncover the magic behind algorithms. Learn how machines “think” and predict outcomes based on data.
  4. Big Data Analytics: Navigate the vast sea of information. Delve into tools and strategies to handle, analyse, and extract value from massive datasets.
  5. Business Intelligence: Convert data into strategies. Understand how data-driven insights can sculpt business decisions and strategies.
  6. Data Visualization: Transform numbers into stories. Master the art of presenting data in an intuitive and interactive manner.
  7. Predictive Modelling: Forecast the future. Use data to model and predict upcoming trends and patterns.
  8. Data Mining: Dig deeper into data. Extract valuable information from large datasets to aid decision-making processes.
  9. Data Ethics: Navigate the moral landscape of data. Grasp the ethical considerations and responsibilities linked with data handling and usage.

While these core subjects lay the foundation, there are numerous other courses ensuring students are always in sync with the ever-evolving world of data science. 

if you’re not from a coding background, fear not! A prior coding pedigree, while beneficial, is not mandatory. Narayana Business School’s PGDM in Data Science and Analytics is tailored to imbue you with essential coding skills, all from a management perspective. The course is designed to ensure that even if you’re starting from scratch, you’ll emerge with a holistic understanding of both data science and its managerial applications. 

Think of it as the tools in a craftsman’s arsenal. Without them, the vast potential of data remains unrealized. Delving deeper: 

  1. Analyzing and Manipulating Data: Coding is the key to unlocking the stories data has to tell, aiding scientists in cleaning, parsing, and converting raw information into actionable insights.
  2. Crafting Machine Learning Models: How do algorithms forecast, classify, or make decisions? It’s all orchestrated by coding. This skill directs machines to derive patterns and insights from the data.
  3. Data Visualization: To transform intricate datasets into digestible visual stories, coding is imperative. It’s the bridge from complex data streams to intuitive, easy-to-understand visuals.
  4. The Triad of Programming: Step into the realms of Python, R, and SQL – the treasured trio in data science. These powerhouses handle and analyze data like no other, and at Narayana Business School, you’ll be diving deep into these languages, ensuring a competitive edge.
  5. The Nuance of Coding: While one doesn’t need to be a coding maestro, a solid grasp on data structures, algorithms, and standard coding practices is vital.

In Data Science and Analytics, you dive deep into a plethora of specialized subjects, each designed to equip you with cutting-edge skills and a holistic understanding of the vast data landscape. At Narayana Business School’s PGDM program, here’s what you’ll unravel: 

  1. Big Data Analytics: Delve into the world of vast data with tools specifically crafted for its navigation. This subject revolves around managing, processing, and analyzing large datasets to glean valuable insights. 

  2. Machine Learning Techniques & Application: Embrace the power of algorithms. Understand various machine learning models and harness them to make precise predictions and data-centric decisions. 

  3. Python / R for Future Managers: Script your success. Get acquainted with the titans of data science languages – Python and R. Learn how to wield them to weave data magic. 

  4. Business Analytics, Intelligence & Forecasting: Decode the past to foretell the future. Use statistical techniques and predictive models to understand business trajectories and steer them towards success. 

  5. Enterprise Data Visualization: A picture speaks a thousand data points. Master tools like Tableau and Power BI to turn complex data into compelling visuals that narrate clear stories. 

  6. Data Warehousing & Data Mining: Unearth the hidden treasures in data. Learn how to store vast amounts of data efficiently and mine it for patterns and insights. 

  7. Deep Learning & Reinforcement Learning: Dive deeper into the neural realms. Understand the intricacies of multi-layered neural networks and leverage reinforcement learning to make adaptive decisions in dynamic scenarios. 

  8. Social Media & Social Networks Analytics: Navigate the digital social labyrinth. Extract and analyze information from the buzzing world of social media, and study the intricate web of social networks. 

  9. Time Series & Forecasting Techniques & Analysis: Time-travel with data. Learn to predict future trends based on historical patterns, a skill invaluable in sectors like finance. 

  10. Natural Language Processing: Speak the language of machines. Delve into techniques that help machines understand and respond to human language, opening doors to tasks like sentiment analysis and chatbot development. 

  11. With such a rich and diverse curriculum, you’ll emerge from the program equipped to tackle the challenges of the modern data-driven world. 

Data Science and Analytics have become an indispensable tool for numerous industries as they strive to harness the power of data to make informed decisions, enhance customer experience, and gain a competitive edge. Here’s a closer look at the top industries and their utilization of Data Science and Analytics: 

  1. E-commerce: In the digital marketplace, data reigns supreme. E-commerce giants rely on Data Science for understanding customer preferences, predicting buying patterns, personalizing shopping experiences, optimizing prices, and forecasting demand.


  2. Finance and Banking: With vast amounts of transactional data, financial institutions harness analytics for tasks like credit risk assessment, fraud detection, customer segmentation, and algorithmic trading.


  3. Healthcare: Data analytics in healthcare focuses on improving patient outcomes, enabling precision medicine, optimizing treatment plans, and aiding in cutting-edge drug discovery.


  4. Retail: Bricks and mortar or online, retailers leverage data for inventory optimization, customer insights, market basket analysis, and tailoring marketing strategies to consumer behaviors.


  5. Manufacturing: In the era of Industry 4.0, manufacturers are turning to data analytics for process optimization, quality assurance, predictive maintenance, and supply chain efficiency.


  6. Telecommunications: Telecom companies harness the power of data to improve network efficiency, forecast infrastructure needs, reduce customer churn, and tailor marketing strategies.


  7. Transportation and Logistics: Efficiency is key in this sector. Analytics aids in route optimization, demand forecasting, managing fleet operations, and ensuring smooth supply chains.


  8. Energy and Utilities: Companies in this sector use data analytics for forecasting demand, optimizing grid operations, improving energy conservation measures, and predicting equipment failures.


  9. Government and Public Sector: Governments around the world employ data analytics for better policy-making, detecting fraud, optimizing public health strategies, and enhancing public safety measures.


  10. Media and Entertainment: In the age of streaming and digital media, companies utilize data analytics for content recommendations, understanding viewer preferences, optimizing advertising strategies, and predicting content trends. 

In summary, while the application of Data Science and Analytics may differ, its significance is universally recognized across sectors, driving innovation and ensuring growth. 


The Post Graduate Diploma in Management (PGDM) with a specialization in Data Science and Analytics offers a comprehensive gateway to numerous promising career avenues. Given the increasing reliance on data in today’s digital age, professionals with expertise in data science are highly sought after in various sectors. Here’s a deeper dive into the scope of PGDM in Data Science: 

  1. Data Scientist: Often dubbed ‘the sexiest job of the 21st century,’ data scientists decipher complex datasets to derive actionable business insights, developing models that predict future trends.
  2. Data Analyst: These professionals dive deep into data to discern patterns, ensuring that businesses have the actionable insights they need to make informed decisions.
  3. Business Analyst: Bridging the gap between data and decision-making, business analysts utilize data-driven insights to optimize operations and improve overall business strategy.
  4. Machine Learning Engineer: With the ability to create algorithms that can learn from and make decisions based on data, they’re at the forefront of technological advancements.
  5. Data Engineer: Tasked with ensuring that vast amounts of data are accessible and usable, data engineers play a pivotal role in any data-driven organization.
  6. Data Architect: Designing robust data systems and structures, they ensure data accuracy, availability, and security.
  7. Data Visualization Specialist: Through the creation of intuitive graphs, charts, and other visual tools, they present complex data in a digestible format.
  8. Data Consultant: Acting as the bridge between businesses and data, these consultants ensure companies harness the power of their data to its fullest potential.
  9. Risk Analyst: By analyzing potential risks and trends, they help businesses navigate uncertain terrains.
  10. Research Scientist: Delving deep into research, they advance the field by developing new techniques and methodologies in data science.
  11. Quantitative Analyst: Key players in the financial sector, ‘quants’ harness mathematical models to predict market movements.
  12. Healthcare Data Analyst: In the rapidly evolving healthcare sector, these analysts optimize patient outcomes through the analysis of vast amounts of medical data.
  13. Supply Chain Analyst: They streamline and optimize every step of the supply chain process, ensuring products move efficiently from manufacturer to consumer.
  14. Social Media Analyst: Tapping into the digital pulse, they gauge public sentiment and analyze online trends to shape social media strategies.
  15. Fraud Analyst: Safeguarding businesses, they detect anomalies and potential fraudulent activities, ensuring the organization’s security.
  16. Data Journalist: Blending the art of storytelling with data analytics, they unravel compelling stories buried in numbers.

And more… As the digital transformation continues to evolve, new roles and specializations within data science and analytics are continually emerging. 

In essence, a PGDM in Data Science opens up a multitude of opportunities across sectors, equipping students with the tools to be at the forefront of the data revolution. 


The field of Data Science & Analytics has witnessed exponential growth, leading to substantial interest from global corporations and startups alike. Graduates of a PGDM in Data Science & Analytics are in high demand, and numerous top-tier companies actively recruit talent from this domain. Some of the prominent recruiters include: 

  1. Accenture: A global professional services company, specializing in IT services and consulting.
  2. Adani Gas: Part of the Adani Group, they focus on energy solutions and infrastructure.
  3. ICICI: One of India’s leading private sector banks offering a wide range of banking and financial services.
  4. Aptus Data Labs: An end-to-end data science solution provider.
  5. Bombardier: A multinational aerospace and transportation company.
  6. Capillary: A SaaS-based customer engagement and retention platform catering to retail businesses.
  7. Crayon Data: A data analytics and AI company that provides business solutions.
  8. Deloitte: A global consulting firm offering audit and assurance, consulting, risk and financial advisory, tax, and related services.
  9. Ernst and Young (EY): Renowned for its commitment to building a better working world, EY offers services in assurance, advisory, tax, and transactions.
  10. Global Analytics: An analytics solutions company.
  11. IBM: An international tech company known for its contributions in IT services, cloud solutions, and hardware.
  12. Infosys: A multinational corporation providing IT consulting and services.
  13. KPMG: A global network of firms providing audit, tax, and advisory services.
  14. LinkedIn: The world’s largest professional network and platform.
  15. Panasonic Life Solutions: Known for their electrical construction products, they also delve into data solutions.
  16. PwC (PricewaterhouseCoopers): A multinational professional services network, specializing in consulting and audit services.
  17. Quantiphi: An AI-first digital engineering company.
  18. Reliance Group: A conglomerate holding company involved in numerous sectors including telecommunications, petrochemicals, and retail.
  19. Subex: A company specializing in analytics for telecom operators.
  20. TCS (Tata Consultancy Services): An IT services, consulting and business solutions provider.
  21. Tech Mahindra: A leading provider of IT, networking technology solutions, and BPO.
  22. Tiger Analytics: A global analytics consulting firm.

For a comprehensive list of recruiters and more details, you can visit the [homepage](Insert link).

The intake for the PGDM in Data Science & Analytics program is 60 seats. 

The program follows a trimester pattern and the medium of instruction is English.

The fee for the PGDM in Data Science & Analytics program is Rs. 7,95,000/- for a duration of two years.

The assessment for each course under the PGDM in Data Science & Business Analytics program at Narayana Business School comprises two major components: Continuous Evaluation and Term End Examination. Each course carries a total of 100 marks. 

  1. Continuous Evaluation (50 marks, 50% weightage): This component encompasses a range of evaluation techniques such as assignments, quizzes, projects, presentations, and class participation. Designed to consistently gauge a student’s grasp, development, and application of course content, these evaluations are spread throughout the course’s duration.


  2. Term End Examination (50 marks, 50% weightage): Held at the culmination of the course, this examination aims to assess the student’s overall comprehension and retention of the material taught during the term. 

The final assessment score for each course is derived by amalgamating the scores from both Continuous Evaluation and the Term End Examination. 

The passing criteria for the PGDM in Data Science & Business Analytics program at Narayana Business School is grounded in the grading system. Here’s a breakdown: 

  • The highest attainable Grade Point (GP) for any course is 10, which is equated to an “Outstanding” grade. 
  • To successfully pass a course, students must achieve a minimum Grade Point of 4, synonymous with a “PASS” grade. 
  • For a student to be deemed successful in a course, they must meet the passing criteria for both the Continuous Evaluation Components and the Term End Examination individually. 
  • It’s crucial to emphasize that to be classified as “PASS” in a specific course, a student has to secure at least 40% absolute marks in every passing head. Failing to achieve this benchmark will result in the student being labeled as “FAIL” for that particular course. 

Absolutely, pursuing a PG Diploma in data science is a valuable investment. Given that data science is one of the most rapidly expanding sectors at present, specializing in this domain can significantly enhance your employability. Narayana Business School (NBS) boasts one of the premier PG Diploma courses in data science for 2023. This AICTE-certified program spans two years and is delivered full-time, ensuring comprehensive coverage and skill development in the field. 

To qualify for the PG Data Science course at Narayana Business School, candidates must meet the following criteria: 

  1. Secure a minimum of 60% marks or its equivalent grade in their 10th, 12th, and graduation levels.


  2. Candidates should have completed their undergraduate studies in fields related to IT, Engineering, or Statistics. 

Those who satisfy these prerequisites are considered eligible for the program. To glean more insights about the course, prerequisites, or any other relevant information, continue exploring further details. 

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