In today’s fast-paced digital world, companies are generating and collecting more data than ever before. The question is whether businesses are using this data to inform decisions, forecast future trends, and promote innovations. This is the role of data scientists—and the reason they are among the most in-demand professionals in the world.
If you are wondering how to become a data scientist, whether an MBA is the right path for you, and how to pick the right university for you—this blog has it all. We will also promote an exciting new opportunity at Chandigarh University, offered in academic collaboration with SAS, that can jump start your career in this highly valued profession.
Data scientists are professionals that generate insights from unstructured data. They apply various analytical approaches based in statistics, artificial intelligence (AI), and machine learning (ML) to find answers to complex business questions and ultimately help organizations make better decisions.
Data scientists operate at the intersection of technology and business strategy, employing quantitative techniques to find relationships and patterns in data that drive product and service development, marketing channels, financial forecasting, and more.
With the advent of Generative AI, the role of the data scientist has expanded again. Generative AI models, such as ChatGPT, DALL·E, and countless others are not only changing the way businesses interact with customers but redefining the boundaries of automation, content creation, predictive modelling, and other emergent ways to
extract value from data, across all domains.
It is impossible to ignore that data dominates today's way of life (it is not only the giant hole of information dispensed through mobile apps and e-commerce in general— interactions with a smartphone, the number of transactions that generate a data point and even simple things that we do every day generate data points) and we don’t even realize it. Companies want to be able to:
But overall, there is a major lack and lack of emphasis on skilled data scientists to steward and communicate the data. According to IBM, the demand for employees who qualify in data science will increase by more than 28% by 2026, which makes it one of the best future-proof career paths today.
As Generative AI becomes more embedded in the everyday work of companies, whether it is synthetic data, or the simulation of human-like interactions, the opportunity for data professionals that understand both historic analytics, and next-generation AI will explode.
To be a successful data scientist requires technical expertise, analytical capabilities, and business intuition.
Some Core Skill may include:
The data scientist of the future will be comfortable using generative models and prompt engineering, and will use AI systems to generate new ideas, improve productivity, or automate processes within their teams, departments, etc.
Yes. In fact, many companies are looking for the new breed of professional that is well-rounded in data and the process of using it in the decision-making process of the business.
An MBA in data science and business analytics is a mixture of.
The really interesting combination is in building a dynamic profile: the persons that can a) still crunch the numbers, but b) can build teams, develop strategies, and drive growth with data. Generative AI is now starting to drive enterprise innovation, and MBA's with a technical context to generative AI tools will be best situated to lead that change.
The managerial environment is evolving quickly, given the advancements in Information and Communication Technology (ICT), Generative AI and web-enabled business platforms. Organizations have also realized that traditional business intuition does not cut it. As the landscape continues to evolve, organizations are seeking leaders with the following attributes:
- Ability to interpret complicated datasets
- Ability to employ AI/ML models and generative tools to develop future actions or ideation
- Use of Data Science techniques in their everyday decision making
- Ability to embed data science activity into a business rationale
The mix of organizational leverage and financial advantages from employing these attributes has created a seismic shift in management education priorities and has rapidly propelled MBA programs with new concentrations in Data Science, AI and Business Analytics to a central focus in the collegiate landscape.
Chandigarh University's University School of Business (USB) has launched a New MBA in Data Science and Artificial Intelligence, delivered by SAS - world leaders in analytics. This MBA is specially designed to teach learners the techniques to collect, analyze, and process data for real world business problem solving. Learners will learn to implement applications like neural networks, forecasting, and predictive algorithms that build intelligent business strategies; and generative AI models, and contemporary automating frameworks that are making business intelligence today.
Elective Specializations:
Here's what sets this program apart:
SAS-Certified Advantage
You will achieve 5 SAS Digital Badges and 3 Global Certifications which will establish you as an analytics individual with analytic knowledge and skills which could be recognized by a few of the best top companies around the world:
You will master the Full Analytics Lifecycle
You will learn and be able to demonstrate the complete analytics lifecycle and apply advanced tools and concepts around AI (Artificial Intelligence), ML (Machine Learning), Generative AI, and Visual Analytics to support strategic decision making.
You will develop practical skills
You will have practical skills and experience through training in the following subjects:
You will have exposure and possibility to utilize Generative AI tools like ChatGPT to enhance business processes and decision making.
SAS Labs for Live Projects
Chandigarh University has SAS Labs that only students of this program will have access to. Students will solve real-time business problems using SAS and other next-gen technologies.
Internship with placement support
You will have internship placements and placement support at SAS and corporate partners of Chandigarh University where you can demonstrate your skills to help gain a competitive advantage in the analytics job market.
The eligibility conditions to apply for the MBA in Data Science & AI at CU are:
Eligibility Requirements:
The Admission Process for the MBA in Data Science & AI is:
If you are excited to start your application with us, please follow the easy steps below:
Graduates of this program are ready to enter high-demand, high-impact roles in fields like:
Top recruiters include Deloitte, EY, TCS, Accenture, Mu Sigma, Infosys and many more—and packages start off ?6–12 LPA onwards for experienced candidates.
With the exponential growth in data professional demand—The industry needs people who can take data science and communicate it into valuable business strategy. MBA in Data Science & AI, will merge the technical role, and also develop you into a practical situation of leading the organization's analytics.
Chandigarh University, has taken the MBA in Data Science & AI to a next level with the partnership with SAS that provides organized accredited certifications, real-time learning experiences, future tech exposure into Generative AI, and live projects.
If you are ready to be a part of the next generation of data-led leaders, now is the time to invest in yourself.
"The future is in the hands of those who can turn the data itself into decisions and the data-driven power and capabilities of the upcoming Generative AI, means your future is beyond limitless."
Learn More & Apply Now -
Learn more and apply for MBA in Data Science & AI at Chandigarh University at www.cuchd.in . You can start your journey into the world of data-fueled leaders.