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Campus to Enterprise 2



BAEL’s campus to enterprise [C2E] bridges the gap between industry and academia by providing application-oriented courses developed by industry experts & academicians. The focus on skill building and applied learning in data science and the peer-to-peer learning experience will enhance the skill sets of the learners on the cusp of joining the work force.

“Bhrighu Academy of E-Learning stands out as a premier skill-building institute, offering a range of modules in data science infused with industry expertise for students from non computer science / data science as well as for those from computer science backgrounds. A key factor contributing to the success of the offerings from Bhrighu is the presence of an in-house creative team comprising a multidisciplinary group of subject matter experts, specialized engineers, instructional designers, graphic designers, media editors, and video production staff.

Bhrighu is able to deliver value-added, integrated courses through its own Learning Management System (LMS) platform. This comprehensive setup ensures that students benefit from a holistic learning experience, enabling them to acquire in-demand skills and stay ahead in the ever-evolving professional landscape.”



Let us raise a tough question. Is it enough to master technical skills for becoming employable? The answer is a big NO.

Employable stack goes beyond technical skills alone. It encompasses a broader skill set that includes problem-solving, critical thinking, communication, and collaboration abilities. Employers value candidates who can not only write code or operate tools but also analyze complex problems, propose effective solutions, communicate ideas clearly, and work effectively in teams. Therefore, individuals aiming to build an employable stack should also focus on developing these essential soft skills that are highly valued in the workplace.

This is where Bhrighu will be a differentiator. The program architecture will be such that learners get a chance to developing a well-rounded employable stack, can position them selves as ‘industry-ready’ candidates and with Bhrighu’s ‘certified hire’ stamp can increase their chances of securing rewarding employment opportunities.


data science

Data Science Essentials is a Certificate program from Bhrighu. The data science essentials certificate program is primarily aimed at final year students pursuing non-data science & non-computer science engineering courses and students from other arts and science streams. The data science essentials is an excellent opportunity for freshers wishing to equip themselves with skill sets in data science even if they do not have engineering, core mathematics backgrounds. The program offers a simplistic approach to mastering data science and being considered for typical roles in the market like business analyst, data analyst, visualization specialist etc..

Who Should Attend

  • “Final year students who are looking in improve their chances of employability and therefore become ‘industry context ready’.
  • If you are someone who is looking to quickly merge with the work force in the firm and start contributing to business results from the word go.
  • If you are looking to beef up your fundamentals with application and experience of industry cases then this program is for you.
  • The program is designed to accommodate learners from science, technology & maths background as well as those without science & matth backgrounds.
  • The program is designed to equip you to take on Business Analyst, Data Analyst, Data Scientist, Data Visualization Experts, Machine Learning Engineer, Data Architect roles which reputed Indian organizations and MNCs recruit regulary in large numbers.”
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What The Learner Will Learn

  •  A Certificate of program completion upon completion of all the modules + assignments + project work.
  • Digital badge for select learners.
  • Alumni of Bhrighu Academy of E-Learning
  • Access to Bhrighu’s Talent Exchange
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Discover A New Way To Learn

  • The technology platform at BAEL provides a GPS type of clear & structured pathway for learning that involves mapping out a clear and structured learning path to help students navigate their way towards their desired destination or goal.
  • A combination of real-world examples, hands-on experience, collaborating with industry professionals, use of technology and inter disciplinary learning opportunity will help the students develop the skills and knowledge required to succeed in the industry
  • BAEL will offer live cases which will allow students to work on real-life problems faced by businesses, giving them the opportunity to apply their knowledge and skills in a practical setting. This helps students develop critical thinking, problem-solving, and decision-making skills, which are highly valued by employers.
  • Social learning activities – BAEL’s program design puts emphasis on social learning activities such as collaboration and teamwork, feedback and evaluation, knowledge sharing, networking, and exposure to diverse perspectives.
  • Improved employability – BAEL will offer placement assistance to all students who successfully complete the program.
pathway 1

Target Audience

  • Final year students in an undergraduate program.
  • Students pursuing engineering in non data-science / computer science disciplines.
  • Students pursuing graduation in other disciplines having minimal maths, statistics, coding, programming and science subjects.
  • Pathway-1 includes learning foundation topics and the basic theory essential before taking up the core topics of data science.
  • 10 hours’ time investment each week
  • Total 450 hours
  • 6 months duration
pathway 2

Target Audience

  • Final year students in an undergraduate program.
  • Students pursuing engineering in data-science / computer science disciplines
  • Students who have some knowledge of programming & coding.
  • Pathway-2 will suit students who do not need to go through a foundation module.
  • 10 hours’ time investment each week
  • Total 300 hours
  • 4 months duration
  • There will be 7 modules that will be covered under the program. Bhrigu believes that it is crucial to provide a well-rounded curriculum that covers both foundation + elective modules to cater to specific needs and interests of each learner.
  • Listed below are some foundation topics and potential electives that we would offer.
recipe tracks

The choice of electives is offered to cater to specific needs and competencies of individual learners.  The foundation + elective approach ensures that participants gain a comprehensive understanding of data science fundamentals while also delving deeper into areas relevant to their likes and preferences


“I hear and I forget. I see and I remember. I do and I understand”. This is a very popular proverb that Bhrighu strongly believes in. Projects as a pedagogy allow learners to apply their learning to practice and builds problem solving, critical thinking, critique and questioning and analysis of solutions as competencies. Projects expose students to diverse problems enabling them to adapt their skills to various domains.

In addition to the wide range of modules and topics offered in our data science training program, we also provide students with opportunities to engage in both horizontal and vertical project experiences. Horizontal projects focus on exploring various data science techniques and methodologies across different domains, allowing students to gain a broad understanding of data science applications. These projects expose students to diverse datasets and problem domains, enabling them to adapt their skills to various industries and challenges by highlighting the importance of real-world relevance of the classroom inputs.

On the other hand, vertical projects offer students an in-depth immersion into a specific industry or problem domain. These projects provide a deep understanding of the unique data challenges and opportunities within a particular field, such as auto, healthcare, finance, or e-commerce. By working on vertical projects, students can develop specialized knowledge and expertise, allowing them to become valuable assets in specific industries where data science is in high demand.

By combining both horizontal and vertical project experiences, our data science training program equips students with a well-rounded skill set and the flexibility to tackle a wide range of data problems. This comprehensive approach ensures that our students are prepared to excel in diverse data science roles and make meaningful contributions to their chosen fields.


How Bhrighu ensures quality of Project based teaching

At Bhrighu, we actively collaborate with industry partners to obtain projects for our data science training program. We employ a multi-faceted approach to inviting companies to provide projects that offer real-world challenges and opportunities to our students.

  • We establish and nurture relationships with businesses across various industries through networking events, industry conferences, and professional connections. By actively engaging with industry professionals, we create avenues for open dialogue and partnerships.
  • We showcase the value of our data science training program and the capabilities of our students through success stories, testimonials, and alumni achievements. We highlight the practical skills and problem-solving abilities that our students develop during their training, emphasizing how they can contribute to real-world projects.


Additionally, we leverage our alumni network and corporate partnerships to bridge the gap between academia and industry. Our alumni serve as valuable ambassadors, sharing their experiences and the impact they made on projects with their employers. We actively collaborate with industry partners who have an interest in recruiting skilled data scientists.

To formalize the process, we have a dedicated team that reaches out to companies and conducts personalized interactions to understand their specific project needs and goals. We demonstrate our ability to tailor projects to the company’s requirements and offer insights on how our students can contribute effectively.

Furthermore, we actively participate in industry-specific events and conferences, presenting our expertise and showcasing the innovative projects completed by our students. These events provide opportunities to network with industry leaders and create awareness of the mutual benefits of collaboration.

If your company is interested in offering or providing live projects to participants of our structured internship program / learners of our data science essentials program, we welcome the opportunity to discuss potential collaborations. By working together, we can provide interns with real-world learning experiences while addressing your company’s data science needs.  Contact us to explore how our internship program can be tailored to align with your organization’s projects, and industry-specific requirements. Together, we can foster a mutually beneficial partnership that promotes growth, learning, and innovation in the field of data science.


Key Differentiator

Bhrighu strongly believes in a hybrid form of learning that has minimal human intervention.  To showcase our customer centricity we work hard to ensure that we address the learning requirements of each individual learner.  To be able to reach at the lowest common denominator we leverage our tech platform and our competency mapping framework that we have designed and developed in-house.

Our technology platform serves as a key differentiator in our data science training program, enabling an immersive and effective learning experience for our students. Built with cutting-edge technologies and designed with pedagogical excellence in mind, our platform offers several distinctive features that set us apart.

We believe strongly that you cannot chalk out a learning path for a learner unless you know where they precisely are.  The 3 important questions that our tech platform answers is Where am I now, Where do I want to go & How can I get there.  Our tech platform has the capability to assess each learner across different competencies like knowledge, mind-set, behaviour & citizenship.  Our tech platform is designed with a single minded end game – focus on supporting the learner.

Bhrighu leverages the tech platform as a navigator for learners.  The navigator serves as an integrated learning exchange [NILE] akin to a GPS for learning for the whole eco-system.

Additionally our tech platform provides a comprehensive and interactive learning environment. It offers a seamless integration of instructional materials, coding environments, and project management tools. Students can access a rich library of resources, including video lectures, tutorials, and interactive exercises, which are structured to provide a progressive learning experience. They can also engage in hands-on coding practice directly within the platform, with built-in coding editors and instant feedback mechanisms that foster active learning and skill development.

One of the key strengths of our platform is its extensive collection of real-world datasets. These datasets, sourced from various industries and domains, allow students to work with authentic data and tackle practical challenges. The platform provides tools for data exploration, cleaning, and visualization, empowering students to apply data science techniques in a realistic context. This hands-on experience with diverse datasets enhances their ability to handle complex data scenarios encountered in real-world projects.

Last but not the least.  Our platform promotes collaborative learning and teamwork. It facilitates seamless communication and collaboration among students, instructors, and mentors through integrated discussion forums, chat functionalities, and project collaboration spaces. This collaborative environment encourages knowledge sharing, peer learning, and the development of crucial teamwork and communication skills—essential for success in data science projects.

The platform also incorporates gamification elements to enhance student engagement and motivation. Through interactive quizzes, challenges, and leader boards, students can track their progress, compete with peers, and earn badges or rewards for their achievements. This gamified approach adds an element of fun and healthy competition, further motivating students to excel in their data science journey.

Moreover, our platform offers robust project management features. It enables students to access and manage project assignments, track their progress, and submit deliverables seamlessly. Instructors and mentors can provide timely feedback, review code, and monitor project milestones, ensuring students receive valuable guidance and support throughout their project-based learning experience.

carrer development

Career Development Workshop

At Bhrighu, we are committed to skill building and enhancing employability not only through our data science training program but also by organizing career development workshops. These workshops are designed to equip students with the skills, knowledge, and resources necessary to thrive in their data science careers.

What is Bhrighu Career development workshop?

Our career development workshops focus on enhancing essential skills such as resume building, interview preparation, and networking. We provide guidance on crafting effective resumes tailored to data science roles, ensuring that students highlight their relevant experience, skills, and projects. Additionally, we conduct mock interview sessions where students receive personalized feedback and guidance to improve their interviewing techniques. We also offer networking workshops, where students learn strategies to build professional connections and leverage them for career opportunities.  In addition to skill building, employability is a top priority for us. We offer career development workshops and resources that specifically focus on enhancing students’ employability in the data science field.

To provide students with exposure to industry trends and insights, we invite guest speakers from renowned companies and organizations to share their experiences and expertise. These industry professionals provide valuable insights into the current landscape of data science, emerging technologies, and industry best practices. Students have the opportunity to interact with these experts, ask questions, and gain first-hand knowledge of the industry’s expectations and trends.

carrer development

Formats of Career Development workshop

Bhrighu’ s career development workshops in the field of data science are offered in different formats.  

  • A half-day workshop 
    • Typically spans around 3 to 4 hours
    • Allows for focused sessions on key topics such as resume building, interview preparation, and job search strategies. 
    • This duration provides just enough time to cover essential concepts and engage in interactive activities, including practice sessions and group discussions. 
  • A full-day workshop 
    • typically lasts for 6 to 8 hours
    • Provides more comprehensive coverage of career development topics in data science. 
    • This extended duration allows for deeper dives into technical skill development, networking strategies, and industry insights. 
    • It also allows for more hands-on activities, guest speaker sessions, and panel discussions.
  • Multi-day events
    • Based on specific requests Bhrighu can organize and facilitate career development workshops as multi-day events. 
    • These multi-day workshops may span over 2 to 3 consecutive days or be spread out over several weeks, across multiple panels, offering participants a more immersive and in-depth learning experience.


Hackathons foster problem-solving and risk-taking in a casual environment under settings favourable for learning. The time limit in the hackathon forces students / participants to distil their topic concepts down to actionable solutions. All this increases the chance of finding innovative fixes to persistent problems.  The hackathon aims to bring students / participants with various skill sets together and to encourage them to embrace their talent by participating and exploring new challenges. Students / participants will have a wide range of opportunities to showcase their skills by applying ideas and solving real-world problems.

What is Bhrighu Data_Science_Hackathon?

Bhrighu Academy of E-Learning brings you an amazing opportunity to delve deep into the world of data science through a Data_Science_Hackathon, where students / participants from will be applying their brilliant minds.

Who should be participating in the data science hackathon?

  • Engineering college students who are obsessed with statistics and numbers.
  • Students need not necessarily be from computational science / data science streams only.
  • If someone has a love for data and he / she is looking to beef up on the fundamentals with application and experience of industry live cases – then the hackathon is for you.
  • The hackathon is intended to motivate your competitive spirits and pit you against the best
  • The hackathon also provides someone talented with an opportunity and a platform to showcase their mettle & shine


What is in it for a participant?

  • Certificate of participation – if you clear the MCQ round
  • Certificate of recognition – if your team gets short listed for the presentation round.
  • Certificate of excellence – for top 3 teams + chance to win cash prizes


Does one stand a chance to win cash awards?

  • Winner INR 20,000
  • First runner up INR 15,000
  • Second runner up INR 10,000Contest swag box to first 10 participants

Add On

  • Keynotes – Throughout the hackathon you will be interacting with inspiring industry experts.
  • Mentor Time – We have a truly inspiring and experienced mentor pool you can tap into as you conceptualise and evolve your ‘space’-breaking idea.
  • Post-competition – Opportunity to access sponsors or participate in Idea-2-Impact programs, to take your idea to the next level.

Participating in our data science hackathon is not just about the thrill of competition.  It’s also a chance to grow your professional network by providing you an opportunity to interact with industry leaders, connect with like-minded individuals, and gain visibility within the data science community. Bhrighu hackathons attract top talent, creating a vibrant ecosystem where you can forge valuable relationships that may lead to exciting career opportunities down the line.  Don’t miss out on the chance to be part of our next exhilarating hackathon!


Structured Internship Program

What is the Structured internship program?

Just as a Systematic Investment Plan (SIP) in the investment world allows individuals to steadily grow their wealth over time, our structured internship program in data science provides a similar path for aspiring data scientists [campus to enterprise category] to systematically develop their skills and knowledge in a progressive manner. Much like how an SIP involves regular investments to build long-term financial stability, our internship program offers a structured approach to gaining practical experience, acquiring new technical competencies, and expanding one’s professional network in the field of data science.

By participating in our program, interns can witness their growth and development in data science unfold incrementally, just as an SIP gradually accumulates wealth over time. With a clear roadmap, dedicated mentors, and real-world projects, our structured internship program empowers aspiring data scientists to make steady progress toward their career goals and flourish in this rapidly evolving field.

Internship provides an insight to what it takes to get the job done at the workplace, understand the practical challenges while solving business problems, interact with experts and work in teams. The social skills that are built through their connections with other students/learners and employees will be invaluable. Academic institutions can consider the work done during the internship, as practical knowledge of the proposed curriculum. Internships help students to take accountability of work, self-organize themselves and explore unchartered technology territories.


  • The duration of a structured internship program in data science can vary depending on the expected take aways / objectives, number of interns and their availability to undergo an internship of a specific duration.
  • Typically, internship programs in data science range from 2 weeks to 2 months, with an average duration of 4 to 6 weeks.
  • However, the specific time allocation for each component of the program can vary.
  • Here’s a rough breakdown of time allocation for a 8 week [2 month] internship program:
    • Orientation and Goal Setting: 2 days
    • Foundational Knowledge: 1 week
    • Technical Skill Development: 1-2 weeks
    • Real-world Project Assignments: 1-2 weeks
    • Mentoring and Feedback: Ongoing throughout the program
    • Advanced Techniques and Specializations: 1 week
    • Communication and Presentation Skills: 1-2 weeks
    • Industry Exposure: 2 days
    • Professional Development: Ongoing throughout the program
    • Culmination and Evaluation: 2 days


Delivery model

The structured internship program will be offered in a hybrid format.

Eligibility criteria

  • Applicants must must be pursuing graduation or completed graduation and is on the look out for a job in data science domain
  • Applicants will have to undergo the Bhrighu entrance test and score minimum 60%

Completion criteria

  • Minimum attendance
  • Performance in meetings and discussions with mentors and faculty.
  • Ability to contribute to project deliverables at an individual level and as part of a group

What is in it for you

  • Interns get a certificate of completion on successfully completing the Structured Internship Program.
  • Along with the certificate you will also receive a competency profiling report which you can showcase to your prospective employer.

Do you have any questions OR you just want to have a discussion.


Micro Learning

What is Micro Learning?

In a fast paced world that is driven by busy schedules we recognize that devoting time to learning is very difficult.  On one side each one of us has to continuously upskill ourselves through learning and on the other side we somehow seem to end up in a situation with no time.

So how do we address this?

  • We at Bhrighu have provided learners with an option for nugget based learning that is self-paced.
  • We have developed a range of micro-learning courses designed to provide bite-sized, focused learning experiences for busy professionals / budding youngsters at the cusp of campus to enterprise.
  • These courses are carefully crafted to deliver concise, targeted content that can be completed in short intervals, making it easier to integrate learning into your daily routine.Each micro-learning course covers a specific topic within the field of data science, allowing learners to acquire new skills, deepen their knowledge, or stay updated with the latest industry trends.
  • With our micro-learning courses, you can access high-quality educational resources, engage in interactive exercises, and gain practical insights in a time-efficient manner.
  • Whether you have limited time availability or prefer a modular learning approach, our micro-learning courses offer a convenient and effective way to enhance your data science expertise.

Are there any dedicated Learning paths?

  • We have carefully curated learning pathways for each of our micro-learning modules to cater to learners at different skill levels, including beginners, intermediates, and advanced learners.
  • These learning pathways are designed to provide a structured progression of knowledge and skills, enabling learners to advance from foundational concepts to more complex and specialized topics.
    • For beginners, our micro-learning modules start with introductory courses that cover essential concepts and foundational knowledge in data science. These modules provide a solid understanding of key principles, terminology, and techniques, ensuring a strong base for further learning. Beginners can follow a step-by-step pathway that gradually introduces them to various aspects of data science, building their skills and confidence as they progress.


    • Intermediate learners can choose from a range of modules that delve deeper into specific areas of data science. These modules assume a basic understanding of data science concepts and focus on developing more advanced skills. Intermediate pathways may include modules on machine learning algorithms, data visualization techniques, or data manipulation and analysis.


    • Advanced learners, who already possess a solid foundation in data science, can select modules that explore cutting-edge topics and emerging trends. These modules delve into complex algorithms, advanced statistical modelling, deep learning architectures, or specialized domains within data science. They challenge learners to apply their knowledge to real-world problems and push the boundaries of their expertise.

Do the learners get any handholding or support during Micro learning?

  • Beginners need to follow the do-it-yourself path.
  • For Intermediate and Advanced learners we provide clear guidance and prerequisites to help them navigate their progression.
  • We ensure that modules within a pathway build upon each other, ensuring a logical and cohesive learning experience.
  • Learners can track their progress, complete assessments, and receive certifications or badges upon successful completion of each module or pathway.

What is the Pricing for undergoing Micro Learning?

  • At Bhrighu, we are committed to making our micro-learning offerings accessible and affordable for learners.
  • Hence modules that are classified under beginners are offered free. We understand the importance of providing value for money while ensuring that our courses remain accessible to a wide range of individuals.
  • Considering various factors like content quality, depth of knowledge, access to projects, expertise the intermediate and advanced modules our modules for intermediate and advanced learners come at a price.

Our pricing structure for micro-learning courses is designed to be competitive and flexible. We offer different pricing options to accommodate various budgets and learning preferences. This may include options such as individual module purchases, bundled packages for specific learning pathways, or subscription-based access to multiple modules.

Additionally, we believe in providing transparency regarding pricing, so learners can make informed decisions. Our pricing strategy is clearly communicated on our website.  Our course catalogue clearly outlines the cost associated with each module or package.

Furthermore, we also offer occasional discounts, promotions, or scholarships to support learners who may have financial constraints but are eager to enhance their data science skills. We believe that everyone should have an equal opportunity to access quality education in the field of data science.

Overall, our pricing strategy aims to strike a balance between affordability and the value delivered by our micro-learning offerings. By ensuring reasonable pricing, we aim to empower learners from diverse backgrounds to take advantage of our educational resources and advance their data science expertise.

If you are interested in our micro-learning offerings and are eager to enhance your data science skills, we encourage you to reach out to us.

Our team is here to answer any questions you may have and provide you with all the information you need to make an informed decision.


Job Placement Assistance

What is Job Placement Assistance?

At Bhrighu Institute, we understand that securing meaningful employment is a crucial aspect of your journey as a data science professional.  We echo your sentiments and hence have ’employability’ as part of our vision.  That’s why we offer a comprehensive job placement assistance program to support our C2E students and SIP interns in their career aspirations.

Our dedicated team at Bhrighu Institute is committed to helping you navigate the job market and find exciting career opportunities in the field of data science. The first step in our job placement assistance program to assess your current position, ask you to clearly define and articulate your desired destination, and identify the competencies you will need to build to achieve their career goals.

What does one get under this assistance?

A typical job placement assistance then follows a structured and scientific approach

  • Guidance on job search strategy
  • One on one career counselling to discuss your goals and aspirations
  • Assistance in resume creation based on your individual competencies
  • Cover letter enhancement
  • Mock interviews, practise questions aligned to your competencies and aspirations
  • Techniques for effective communication
  • Networking opportunities & industry connects
  • Optimizing digital and social media presence for job opportunities

Is there a price associated with the job placement assistance

Bhrighu’s pricing strategy on the job placement assistance is an attempt to strike a balance between affordability for students and the financial sustainability of the institution.

We offer our customers two options.

  • Tiered pricing – pricing that is aligned to the quality and comprehensiveness of the services that you seek from Bhrighu.
  • Performance-based fees where the fees that you pay is tied to the outcome that you seek – successful placements.

If you are seeking comprehensive job placement assistance to enhance your career prospects in the field of data science OR to learn more about our job placement assistance program, we invite you to reach out to us at Bhrighu Institute. Our team will be delighted to provide you with detailed information, answer your questions, and guide you through the process of getting started.  Our dedicated team of career services professionals is committed to supporting you every step of the way on your employment journey.

Whether you are a current student looking for internships or a recent graduate seeking full-time employment, our job placement assistance program offers personalized guidance, resources, and networking opportunities to help you secure meaningful positions in the data science industry.

Don’t miss out on the chance to accelerate your career growth. Take the first step toward securing your dream job by reaching out to us today. We look forward to hearing from you and helping you embark on a successful data science career journey.

What is Data Science Mentorship program?

Data Science Mentorship Program is designed to provide young data scientists who want to become better with personalized guidance and support from experienced professionals in the field. 

  • This program offers a unique opportunity to learn directly from industry experts, gain practical insights, and develop the skills necessary to excel in the dynamic field of data science.
  • Through our mentorship program, participants are paired with accomplished data science mentors who have a wealth of knowledge and real-world experience. 
  • Mentors work closely with participants to tailor the learning experience to their specific goals, whether it’s building a solid foundation in data science or advancing their skills in specialized areas.  
  • These mentors serve as trusted advisors, providing guidance, feedback, and encouragement throughout the learning process.


Is there a particular pedagogy that the Data Science mentorship program follows?

Data science mentorship program is designed to be delivered in a hybrid format of learning.