SINCE 2010 
As you might be aware, Data Science is among the fastest growing and most demanded career paths in the job market of today. What astounds many aspiring professionals is that becoming a Data Scientist is no longer limited to engineers or computer science graduates. In fact, students graduating with degrees like commerce, arts, science, management, and even non-technical backgrounds can successfully pivot to data science careers.
With the right training, hands-on exposure, and career guidance, any graduate can craft a robust footing in data science. DV Data & Analytics has designed its programs precisely to support this transition, making data science accessible to candidates from diverse education backgrounds.
This writeup explains why any graduate can become a data scientist, how non-IT professionals can make this transition, the eligibility criteria at DV Data & Analytics, and how the premier institute supports learners throughout their journey.
Data Science No Longer Restricted to IT Backgrounds
The thinking that data science is only meant for engineers is now getting obsolete. Modern data science roles necessitate a healthy mix of analytical thinking, problem-solving skills, business understanding, and practical technical skills. Though coding is an important aspect of the role, it is a skill that can be learned with proper mentoring and practice.
Most successful data scientists today come from backgrounds such as commerce, economics, statistics, physics, life sciences, and management. Employers gradually focus on a candidateās ability to work with data, understand insights, and apply analytical thinking to real-world problems rather than their undergraduate specialization.
DV Data & Analytics understands this move and has designed its programs to assimilate learners from diverse academic and professional backgrounds.
Eligibility at DV Data & Analytics: Open to All Graduates
One of the robust differentiators of DV Data & Analytics is its comprehensive eligibility criteria. The learners eligible to enroll include:
- Any graduate from a recognized university
- Postgraduates from any discipline
- Masterās degree holders
- PhD candidates or PhD holders
Working professionals from both IT and non-IT backgrounds
There is no obligation for a computer science degree, previous experience with programming or IT industry work history. This makes DV Data & Analytics a perfect choice for learners who are serious about moving into data science but may not have a technical academic background.
Learning Pathway at DV Data & Analytics
DV Data & Analytics provides organized learning pathways that allow beginners to progress gradually from foundational concepts to advanced industry-ready skills. The institute focuses on practical learning, ensuring that students build confidence and competence at every stage.
The two flagship programs that support this journey are the Advanced Program in Industrial Data Analytics (APIDA) and the Advanced Program in Industrial Data Science (APIDS).
(APIDA) Advanced Program in Industrial Data Analytics: A Robust Starting Point
The Advanced Program in Industrial Data Analytics is meant for learners who want to craft a strong foundation in data analysis and business intelligence. This program is especially suitable for graduates from non-IT backgrounds who want to enter the data domain in a measured way.
The program usually runs for five to six months and stresses on essential analytical skills used across industries. Candidates are trained in SQL for database querying, Excel for data handling, Python and SAS for analytics, and visualization tools such as Power BI and Tableau. The curriculum underscores the understanding of data, recognizing patterns, and offering insights clearly to stakeholders.
The career roles which a candidate with APIDA skills can go for include; Data Analyst, Reporting Specialist, Business Analytics Consultant, Data Analytics Consultant, and Principal Consultant.
DV Analytics candidates can expect salary ranges of approximately ā¹6-8 LPA with high growth with experience under their belt.
The APIDA program is suitable for learners who like working with data, solving business problems, and communicating insights rather than focusing heavily on advanced machine learning algorithms.
(APIDS) Advanced Program in Industrial Data Science: For Deeper Technical Roles
Candidates who aspire to become full-fledged data scientists or machine learning professionals must opt for the Advanced Program in Industrial Data Science.
This program is also open to any graduate and does not require prior IT experience, still learners must be willing to give in proper effort into understanding technical concepts.
The APIDS program typically spans six to eight months and covers advanced analytics, machine learning, deep learning, big data technologies, cloud computing, Gen AI, Agentic AI, and MLOps etc. Here, candidates get hands-on experience with Python, SQL, PySpark, Scala, machine learning frameworks, and cloud platforms apart from advanced (artificial intelligence) AI and generative AI skills.
The career roles which a candidate with APIDS skills can pursue include; Data Scientist, Machine Learning Engineer, Data Engineer, AI Specialist, AI Architect, and Principal Consultant. DV Analytics students have a greater salary potential for these roles, with freshers typically starting in the ā¹8-10 LPA while experienced individuals earn a lot more.
This career path is apt for graduates who want to work on predictive modelling, automation, and big data systems.
DV Analytics Support for Non-IT Learners
Making a transition from a non-IT background into data science can feel overwhelming at first. DV Analytics tackles this challenge through structured academic and career support.
The course curriculum starts with fundamentals before progressively moving to more advanced topics. The concepts are explained in a simple and practical way ensuring learners without previous coding experience can also follow the same comfortably. The mentors and faculty members offer continued guidance, ensuring that students understand not just how tools work, but why they are used.
There is a strong focus on hands-on learning. Students are encouraged to work on practical assignments, real-world case studies, and industry-oriented projects that mimic real business problems. This approach helps learners build confidence and nurture a robust portfolio that showcases real skills to employers.
DV Analytics also provides regular mentorship support, one on one doubt-clearing sessions, and revision support. This is especially helpful for candidates from non-technical backgrounds who would require additional support while honing programming skills or learning statistical concepts.
Industry-Relevant Tools and Practical Exposure
Another important aspect in successful career transition is a knowledge of tools that are relevant in the current industry landscape. DV Analytics makes sure that learners get experience with widely adopted technologies such as SQL, Python, SAS, Power BI, Tableau, machine learning libraries, big data tools, Generative AI, Machine Learning and cloud platforms.
By working broadly with these tools during the course, learners get job-ready instead of just having a certificate. This practical exposure helps level the playing field between non-IT graduates and candidates with traditional technical degrees.
Placement Assistance and Career Guidance
Career support is a crucial part of the DV Analytics learning pathway. The institute provides placement assistance which also encompasses resume building, interview preparation, grooming and personality building sessions, mock interviews, and ongoing job support.
Instead of ending support at course completion, DV Analytics continues to help learners until they secure suitable roles. This continuous focus on outcomes makes the transition into data science more achievable, especially for first-time candidates to the field.
Why Graduates from Any Background Can Succeed?
The success of non-IT learners in data science is not accidental. It is determined by a combination of structured learning, practical exposure, mentorship, and persistence. DV Analytics fosters an enabling environment where learners from any academic background can hone the skills and confidence necessary for competing in the data job market.
By focusing on fundamentals first and moving upward, DV Analytics makes sure that students are not dazed and can progress at a sustainable pace.
Conclusion: Your Data Science Journey Starts at DV Data & Analytics
Becoming a data scientist is no longer limited by your undergraduate degree. With the correct guidance and industry-oriented training, any graduate can craft a successful career in the field of data science.
DV Analytics provides an inclusive and structured pathway for graduates, postgraduates, and PhD holders from all disciplines. With beginner-friendly eligibility, practical learning, professional mentorship, and robust placement support, DV Analytics helps learners transform ambition into real career outcomes.
If you are a graduate looking to transition into a future-ready, high-growth career, DV Data & Analytics provides the skills, support, and confidence you need to succeed in data science.