Working Professionals
Looking to move into senior leadership or strategic roles.
Undergraduate at Symbiosis (SCDL)
Symbiosis (SCDL)
Data Science at Symbiosis (SCDL)
B.Tech CSE Data Science [Lateral Entry] The course B.Tech in Data Science for Working Professionals has been specially designed for individuals who are already working in the relevant engineering industries, hold a 3-Year diploma but now want to upskill themselves and do a career transition in the Data Science branch of engineering. Individuals like Data Scientists and Data Architects are highly paid by the organisations because of the skillset and data science expertise they bring to the table. And this Data Science course helps you achieve the same skillset in 3 years as you get admission directly into the 2nd year of the B.Tech programme.
Advanced Leadership
Research Driven
Global Recognition
Executive Friendly
Duration
—
Full-time / Part-time options
Eligibility
—
Average Fees
₹74K Total
Program-wise
Mode
Online
Overview
About Data Science at Symbiosis (SCDL)
B.Tech CSE Data Science [Lateral Entry] The course B.Tech in Data Science for Working Professionals has been specially designed for individuals who are already working in the relevant engineering industries, hold a 3-Year diploma but now want to upskill themselves and do a career transition in the Data Science branch of engineering. Individuals like Data Scientists and Data Architects are highly paid by the organisations because of the skillset and data science expertise they bring to the table. And this Data Science course helps you achieve the same skillset in 3 years as you get admission directly into the 2nd year of the B.Tech programme.
A Flexible B.Tech in Data Science Programme for Working Professionals is often confused with a regular lateral entry B.Tech course which is completely wrong in the case of a B.Tech in Data Science for Working Professionals, the core differences being, to apply for a Lateral Entry B.Tech programme for Working Professionals you need to be a working employee in an engineering field to the branch of engineering you will…
Who it's for
Who Should Choose This Course?
See if your goals align with how this program is structured.
Career Builders
Need structured pathways into leadership or specialist roles.
Research-Oriented Learners
Enjoy inquiry-driven learning and evidence-based decisions.
Goal-Focused Achievers
Want clarity, milestones, and measurable outcomes.
Career Outcomes
Where this program can take you
High demand for doctorate-level management professionals across consulting, strategy, and academia.
ABC
20K+ professionals upskilled already
Syllabus details are being updated.
Fee breakdown
Data Science fees at Symbiosis (SCDL)
| Fee type | Amount |
|---|---|
| Application Fee | ₹ 1,200 |
Fees & Financing
Fees & Financing
Transparent fee structure with flexible payment options.
Total Program Fee
₹74K Total
*Fees may vary across universities. Instalment plans shared after shortlisting.
Easy EMI Options Available
Scholarships Up to 30%
Education Loan Assistance
Need help planning your finances?
Our experts can guide you with the best options.
Admission
Admission Process
Simple steps to start your doctoral journey.
1
Apply Online
Submit your profile, academics, and intent with supporting documents.
2
Application Review
Our panel verifies eligibility and aligns you with the right cohort format.
3
Interview / Proposal Chat
Discuss research interests and career goals with faculty mentors.
4
Offer & Fee Plan
Receive admission decision with financing and instalment options.
5
Enrol & Onboard
Complete registration, join the cohort workspace, and start Semester 1.
FAQs
Frequently Asked Questions
Quick answers to common questions.
The program usually lasts two to three years, giving students time to mix their studies with work.
Applicants must have either a Master's degree (or a similar) or a Bachelor's degree and at least three years of work experience.
Yes, the program is for workers who are already working and offers flexible learning choices to fit busy lives.
Moving credits from one program to another may be possible in some cases. During admissions, applicants can ask about the rules for transferring credits.
Graduates can work as data analysts, data engineers, machine learning engineers, or business intelligence experts, among other roles in data science.
The accreditation level may differ depending on the university offering the program. Before applying, people should check to see if the school is accredited.
Need personalised guidance?
Our expert counsellors can help you choose the right path based on your profile, goals & aspirations.
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