Data Science Course in Kolkata with Placement Support: Fees, Curriculum & Career Opportunities

For the Best Data Science Course in Kolkata, you need to go for a course that involves not only technical knowledge but also provides you with practical exposure and good career guidance as well. You should not join any normal Data Science Course in Kolkata with Placement Support which is only focused on Python and Statistics. It should be able to give you the exposure of Machine Learning, Artificial Intelligence, Generative AI, Business Analytics and Data-driven Decision making.

Boston Institute of Analytics provides you a very well-structured Data Science Course in Kolkata and Artificial Intelligence Program along with Generative AI and Agentic AI.

Boston Institute of Analytics: Best Choice for Data Science Course in Kolkata

However, Boston Institute of Analytics seems like a great option for those who wish to take up a complete Data Science Course in Kolkata along with placements. The course not only combines topics such as Data Science, Artificial Intelligence, Machine Learning, Deep Learning, NLP, Generative AI, and Agentic AI in its curriculum, but it makes sure that all these skills become future-proof as per industry demands.

The curriculum includes both classroom teaching along with online learning, 15+ real-life projects, capstone project and dual international certification. The placement process includes building resume, one-on-one interview practice, LinkedIn optimization, mentoring in mock interviews, and accessing 350+ hiring partners through an exclusive job portal and campus recruitment drive. For learners comparing options for a Data Science Course in Kolkata, factors such as curriculum, practical exposure, learning mode, course duration, projects, certification, and career support are important to evaluate.

Some of the statistics about the placements are 92% placements within 90 days and average salaries of approximately ₹10.5 LPA for analysts, ₹14.2 LPA for data scientists, and ₹18.5 LPA for ML engineers.

Feature	Benefit
Integrated AI curriculum	Learn Data Science, ML, DL, NLP, Generative AI and Agentic AI together
Practical focus	15+ projects, case studies and capstone work
Career support	Resume, interview, LinkedIn, mock interviews and 350+ hiring partners
Reported outcomes	92% placement within 90 days; competitive starting salaries

The program integrates:

• Data Science.
• Artificial Intelligence.
• Machine Learning.
• Deep Learning.
• Natural Language Processing.
• Generative AI.
• Large Language Models.
• Retrieval-Augmented Generation.
• Agentic AI.
• Data visualisation.
• Business intelligence.
• Cloud analytics.
• Application deployment.

The program is delivered over a classroom-plus-online format. Apprentices can attend live classroom sessions and also access online interactive learning, depending on their schedule and batch procedure.

Program Highlights

Feature	Details
Program	Data Science and Artificial Intelligence
AI integration	Generative AI and Agentic AI
Duration options	4 months, 6 months or 10 months
Weekend classroom training	100+ hours
Weekday live tutorials	200+ hours
Projects and case studies	15+
Tools and technologies	30+
Internship	2-month Data Science internship experience
On-the-job training	6-month work experience option as a Data Scientist
Learning mode	Classroom plus live online
Career support	Resume, portfolio, interview and job support
Certification	Diploma, Master Diploma and dual international certification options
Eligibility	Any educational background
Prerequisites	No prior technical knowledge required

Fees for Data Science Course in Kolkata

The Data Science Course in Kolkata fees at Boston Institute of Analytics (BIA) depend on the selected program, learning format, course duration, and training options. BIA’s data science program is designed to combine theoretical foundations with practical, industry-oriented learning to help students develop job-ready skills.

The course curriculum can cover key areas such as Python, statistics, SQL, data analysis, machine learning, data visualization, deep learning, artificial intelligence, and Generative AI. Students can also gain practical exposure through projects and hands-on assignments designed around real-world data science applications.

Program option	Duration	Program fee, inclusive of GST
Diploma	4 months	₹97,000
Master Diploma	6 months	₹1,40,000
Extended program	10 months	₹1,75,000

What Does the BIA Data Science Course Fee Include?

Depending on the selected program and applicable package, students should review the specific inclusions provided by BIA. These may include:

• Placement assistance, where included in the selected program
• Comprehensive data science training
• Python and SQL programming
• Statistics and exploratory data analysis
• Machine learning concepts and algorithms
• Data visualization and business intelligence
• Artificial intelligence and advanced data science concepts
• Practical projects and case studies
• Career guidance and interview preparation
• Certification

However, before joining the program, one should check the current fee, batch timing, available campus, and payment mode from the institute itself since the program details can vary from time to time.

Data Science Course in Kolkata Curriculum

A well-structured Data Science Course in Kolkata curriculum should progress from fundamentals to advanced concepts. BIA’s curriculum combines core technical subjects with practical learning, allowing learners to gradually develop skills in programming, data analysis, machine learning, and AI.

Before enrollment, students should review the latest BIA syllabus, course duration, modules, project structure, training format, and current placement-support inclusions, as program details can change between batches.

The Data Science Course in Kolkata curriculum at BIA therefore provides a broad learning path covering the key technical and practical areas students need to explore when preparing for careers in data science and related fields.

1. Data Science and AI Foundation

The foundation module introduces learners to:

• Data Science, artificial intelligence and machine learning.
• Generative AI and Agentic AI.
• Course structure and learning pathway.
• Career options in data and AI.
• Software, tools and learning environment setup.
• Learning management system and practical training.
• Capstone project expectations.

This stage is useful for trainees because it explains how unlike technologies connect within a modern data science workflow.

2. Python for Data Science and AI

Python is one of the most imperative programming languages for data science. The Python module covers:

• Programming logic and Python basics.
• Variables, data types and operators.
• Conditional statements and loops.
• Functions and program structure.
• Data structures.
• Files and JSON.
• Object-oriented programming.
• Modular Python.
• Version control.
• NumPy.
• Pandas.
• Exploratory data analysis.
• Data visualisation.
• API integration.

Students use Python to clean data, explore patterns, systematize repetitive tasks and formulate datasets for machine learning.

3. SQL for Data Science and Cloud Analytics

Data professionals frequently work with relational databases. The SQL module includes:

• Relational database fundamentals.
• SQL syntax and analytical queries.
• Filtering and sorting.
• Joins.
• Aggregations.
• Subqueries.
• Data analysis using SQL.
• Cloud-based analytics.
• Big Query and managed databases.

SQL is especially imperative for data analyst, business intelligence and Data Science Course in Kolkata roles since business data is often stored across numerous database tables.

4. Excel and Spreadsheet Analytics

Excel remains widely used across business, finance, marketing and operations teams. The curriculum includes:

• Spreadsheet fundamentals.
• Data cleaning.
• Formulas and functions.
• Pivot tables.
• Data summarisation.
• Dashboard creation.
• Power Query.
• Google Sheets.
• Business reporting.

These aids help learners begin analysing data even before they move to unconventional programming and machine learning tools.

5. Statistics and Mathematics for Machine Learning

Statistics helps data scientists understand uncertainty, relationships and patterns in data. This module covers:

• Descriptive statistics.
• Probability.
• Sampling.
• Statistical inference.
• Hypothesis testing.
• A/B testing.
• Mathematical foundations for machine learning.

A good considerate of statistics allows novices to select suitable models, evaluate results and explain findings more accurately.

6. Data Visualisation and Business Intelligence

Data visualisation converts complex information into clear business insights. The course includes:

• Principles of effective dashboard design.
• Tableau.
• Power BI.
• Data modelling.
• Interactive reports.
• Business dashboards.
• Communicating data-driven insights.

Learners can use these tools to present presentation trends, customer behaviour, sales consequences and operational metrics to decision-makers.

7. Machine Learning

The machine learning module emphases on how computers learn designs from data and generate predictions. Topics include:

• Machine learning workflows.
• Data preparation.
• Feature engineering.
• Training and validation.
• Regression.
• Classification.
• Decision metrics.
• Decision trees.
• Ensemble methods.
• Model explainability.
• K-nearest neighbours.
• Clustering.
• Model selection.
• Time-series forecasting.

Practical learning in this area can help students build models for sales forecasting, customer churn prediction, fraud detection, credit risk valuation and endorsement systems.

8. Deep Learning

Deep learning uses neural networks to solve complex problems involving images, text and sequential data. The program covers:

• Neural network fundamentals.
• Deep learning concepts.
• Model training.
• Sequence models.
• Recurrent Neural Networks.
• Long Short-Term Memory networks.
• The transition from sequence models to attention mechanisms.

9. Natural Language Processing and Transformers

Natural Language Processing, or NLP, enables machines to appreciate and work with human language. The curriculum includes:

• Text processing.
• Classical NLP.
• Text representation.
• Context and attention.
• Transformer architectures.

These concepts form the substance for applications such as mawkishness analysis, document classification, chatbots, search systems and language-based automation.

10. Generative AI and Large Language Models

Generative AI has become an important area for modern data and AI professionals. This module includes:

• Generative AI fundamentals.
• Large Language Model concepts.
• Prompt engineering.
• Embedding’s.
• Retrieval-Augmented Generation.
• LLM application development.
• LLM customisation.
• Evaluation.
• Responsible AI.

Students acquire how to move beyond simply using AI tools and begin scheming practical applications around language models.

11. Agentic AI and Intelligent Workflows

Agentic AI focuses on arrangements that can reason, use tools and perform multi-step tasks. The course familiarizes:

• Agentic AI fundamentals.
• Tools and reasoning.
• AI workflows.
• Reliable agents.
• Human-in-the-loop systems.
• Model Context Protocol fundamentals.

This area can formulate learners for emerging roles involving AI automation, intelligent subordinates and workflow orchestration.

12. From Project to Production

A data science project is valuable only when it can be communicated, deployed and used. The program covers:

• Problem framing.
• Solution selection.
• End-to-end project lifecycle.
• Project structure.
• GitHub.
• Documentation.
• FastAPI.
• Docker.
• Production awareness.
• MLOps fundamentals.

13. Capstone Project

The capstone project brings together the concepts learned throughout the program. Learners work on:

• Capstone project orientation.
• Problem identification.
• Data preparation.
• Model development.
• Application development.
• Project documentation.
• GitHub portfolio creation.
• Project presentation.

A well-executed capstone development can demonstrate practical ability to employers and brace a learner’s resume.

Data Science Course in Kolkata with Placement Support

The placement record of the program is strong with respect to analyst, scientist and machine learning jobs. As per the statistics of the institute, 92% of the learners are placed within 90 days of completing the courses as Data Analyst, Data Scientist and Machine Learning Engineer. Enroll in our industry-aligned Data Science Course in Kolkata with placement support including resume building, mock interviews, and direct referrals to hiring partners to help you land your first data role with confidence.

The career assistance program focuses on building CVs, one-on-one interview prep, LinkedIn profile optimization and mentor-guided mock interviews. It is described as 360° career assistance, which involves technical interview preparation, HR interview preparation, project presentation preparation and soft skills training.

Jobs are sourced through a private job portal and campus placement that take place in collaboration with 350+ corporate partners, including technology companies, analytics companies, financial institutions, ecommerce companies and consulting organizations.

Average starting salaries may differ depending upon the track chosen by the candidate, previous work experience and performance in interviews. Average salary figures in various tracks are roughly as follows: ₹10.5 LPA for Data Analyst, ₹14.2 LPA for Data Scientist and ₹18.5 LPA for Machine Learning Engineering track.

Placement and Career Metrics

Metric / Feature	Details
Placement Rate	92% placed within 90 days of course completion (analyst/scientist/ML roles)
Hiring Partners	350+ companies via exclusive job portal and campus drives
Career Support Offered	Resume building, 1:1 interview prep, LinkedIn optimisation, mentor-led mock interviews (360° support)
Average Starting Salary – Data Analyst Track	~₹10.5 LPA
Average Starting Salary – Data Scientist Track	~₹14.2 LPA
Average Starting Salary – ML Engineering Track	~₹18.5 LPA

The learning path that comprises case studies, hands-on training, coursework, in-class assessment, interview preparation, a capstone project and lifetime career support.

Career Opportunities After Data Science Training

Completing a Data Science Course in Kolkata can help learners develop skills relevant to growing data-driven roles across industries. Training in Python, SQL, statistics, data analysis, machine learning, and data visualization can prepare learners to explore career opportunities in technology, finance, healthcare, retail, e-commerce, and consulting.

A Data Science Course in Kolkata can provide a foundation for developing job-oriented technical and analytical capabilities. Learners can further strengthen their career profile by gaining hands-on experience, working with real-world datasets, improving problem-solving abilities, and staying updated with emerging technologies such as artificial intelligence, deep learning, and Generative AI.

Job Roles

Job role	Typical responsibilities
Data Analyst	Analyse datasets, prepare reports and identify business trends
Business Intelligence Analyst	Build dashboards and support business decisions
Data Scientist	Develop statistical and machine learning models
Predictive Analyst	Use historical data to forecast future outcomes
Machine Learning Engineer	Build, optimise and deploy machine learning systems
AI/ML Engineer	Develop artificial intelligence and machine learning applications
Deep Learning Engineer	Build neural-network-based solutions
NLP Engineer	Develop language-processing applications
Generative AI Engineer	Create applications powered by large language models
RAG Developer	Build retrieval-augmented question-answering systems
LLM Application Developer	Integrate language models into business applications
AI Automation Engineer	Automate workflows using AI systems
Agentic AI Developer	Design AI agents and multi-step workflows
Data Engineer	Build data pipelines, storage systems and processing workflows
Data Visualisation Specialist	Develop dashboards and visual reports
AI Solutions Developer	Design and implement AI-powered business solutions
Analytics Consultant	Translate business requirements into analytical solutions
AI Consultant	Advise organisations on AI adoption and implementation
AI Product Analyst	Analyse product data and support AI product decisions

Learning Mode and Schedule

The Data Science Course in Kolkata at Boston Institute of Analytics (BIA) is designed to accommodate learners with different schedules and learning preferences. Depending on the specific program and batch, students can explore available classroom, online, or hybrid learning options, allowing them to choose a format that fits their professional or academic commitments.

BIA’s learning schedule is structured to provide a balance between theoretical concepts and practical training. Sessions can cover important areas such as Python, SQL, statistics, data analysis, machine learning, data visualization, artificial intelligence, and Generative AI, along with hands-on exercises and projects. Batch timings and session frequency may vary depending on the selected program.

For students considering a Data Science Course in Kolkata, checking the latest BIA batch schedule before enrollment is recommended. Learners can confirm the available learning mode, class timings, course duration, upcoming batches, and current program structure directly with BIA to select an option that best matches their requirements.

The session structure includes:

Day	Learning activity
Saturday	In-class training session of approximately 3 hours
Sunday	In-class training session of approximately 3 hours
Monday to Friday	Optional online sessions of approximately 1 hour
Weekdays	Guest sessions, refresher sessions, interview preparation, communication skills and doubt-solving sessions

The centralised Campus-Connect scholarship platform provides access to study ingredients, lecture recordings, guest lectures, revision sessions, doubt-solving support, a help desk and career enhancement resources.  

Frequently Asked Questions – Data Science Course in Kolkata with Placement Support

What is the best Data Science Course in Kolkata with placement support?

A great Data Science Course in Kolkata with placement will comprise Python, SQL, statistics, machine learning, deep learning, NLP, Generative AI, Agentic AI, Business Intelligence and end-to-end projects along with structured career development. The Boston Institute of Analytics’ program includes all of these elements and offers Resume building, Interview Preparation, Mock Interviews, Portfolio Building and access to 350+ hiring partners.

What is the fee for a Data Science Course in Kolkata?

As per the attached brochure, the fee structure is as follows for the following duration of courses: 4 months Diploma – Rs 97,000, 6 months Master Diploma – Rs 1,40,000, 10 months’ course – Rs 1,75,000. The fee structure may vary based on course duration, course structure and campus. Please check for more details.

Does the Data Science Course in Kolkata offer placement support?

Yes. The program offers 360° career support which includes Resume building, One-to-one Interview Preparation, LinkedIn Optimization, Mentored Mock Interviews, Technical & HR Interview Training, Project Presentations and access to an exclusive Job portal of 350+ partners.

What is the placement rate for the Data Science Course in Kolkata?

The institute claims that the placement rate for analyst, scientist, and machine learning positions within 90 days after the completion of the course is 92%. The actual results may vary on the basis of skills, project quality, communication skills and market scenario.

What are the average starting salaries after the course?

The average salary figures provided are ₹10.5 LPA for the Data Analyst specialization, ₹14.2 LPA for the Data Scientist specialization and ₹18.5 LPA for the Machine Learning Engineering specialization.

Is this Data Science Course in Kolkata suitable for beginners?

Yes. As per the brochure, no prior knowledge is required and individuals with any educational background are eligible to apply for the program.

What topics are covered in the Data Science Course in Kolkata?

This program curriculum consists of Python, SQL, Excel, statistics, data visualization, machine learning, deep learning, NLP, Transformers, Generative AI, large language models, Retrieval-Augmented Generation, Agentic AI, Tableau, Power BI, Big Query, AWS, GitHub, FastAPI, Streamlit, Docker, and capstone projects.

Does the course include Generative AI and Agentic AI?

Yes. The Generative AI and Agentic AI courses are included in the curriculum which covers prompt engineering, embedding’s, vector databases, RAG, LLM development, customization, evaluation, responsible AI, AI agents, tools, reasoning, and intelligent workflows.

What kind of projects will I work on during the course?

A minimum of 15+ projects/industry case studies/capstone projects can be part of the learning curriculum. Such projects could be related to sales forecasting, customer churn prediction, recommendation engine, sentiment analysis, business intelligence dashboard, chatbot, RAG based question answering system, and AI-based applications.

Is there internship or work experience included?

There is also an option for a 2-month Data Science Course in Kolkata Internship program and 6-month on-the-job training program for Data Scientists, depending upon which plan the student opts for. Check the details before applying to the program.

What certification will I receive after completing the course?

The learners will be awarded Diploma/Master’s Diploma program in addition to dual international certification in Data Science & AI, Generative AI, and Agentic AI. Each of these certificates carry an authorisation QR code and issued by Boston Institute of Analytics LLC.

What is the mode of learning for this Data Science Course in Kolkata?

The program adopts a combination of classroom and online teaching method. Herein, the trainers take live classes from classrooms while the learners from that particular batch could join online and participate. This would include class room classes during weekends and optional online classes during weekdays.

Who are the hiring partners for placement?

The institute claims over 350+ global corporate partners in the domain of tech, analytics, finance, e-commerce, consultancy, and many more. Hiring process is made convenient by means of an exclusive job portal and on-campus.

Final Verdict

The best Data Science Course in Kolkata with Placement Support will enable you to move from the stage of learning the basics to developing projects and preparing for interviews. The course in Data Science & Artificial Intelligence by The Boston Institute of Analytics is a comprehensive one that covers traditional Data Science, Machine Learning, Deep Learning, NLP, Business Intelligence, Generative AI, and Agentic AI.

This Data Science Course in Kolkata Placement Support will come with a fee structure varying between ₹97,000 and ₹1,75,000 and includes live training sessions, project training, capstone training, certifications, internship, on-the-job training, and career guidance. For getting the Best Data Science Course in Kolkata, check out the recent fee structure, batch schedule, campus location, and placement procedure.

Ready to build your career in data science? Join the Data Science Course in Kolkata at Boston Institute of Analytics (BIA) and develop practical skills in Python, SQL, machine learning, AI, data visualization, and more.

Take the next step toward a data-driven career. Enquire Now and explore the latest BIA course fees, curriculum, batch schedules, and career support options.