MCA in Data Science & Analytics In Pune

Why choose MCA in data science and analytics?
As data becomes the backbone of modern decision-making, organizations worldwide are seeking skilled data scientists and analysts who can transform complex data into actionable insights. The MCA in data science and analytics program equips students with cutting-edge skills in data handling, statistical modeling, machine learning, and data visualization, enabling them to address real-world challenges across various industries. Through a blend of theoretical knowledge and practical application, this data science and analytics program prepares students to harness the power of data to drive business strategies, improve efficiencies, and innovate.  
Graduates from the data science and analytics program will be well-prepared for roles such as Data Analyst, Data Scientist, Business Intelligence Analyst, and more. The MCA curriculum includes hands-on projects with real-world data sets, equipping students to enter the workforce with the skills and experience needed to succeed in today’s data-driven landscape. 

Who should enroll in the MCA in data science and analytics course?
This data science and analytics program is ideal for: 
  • IT graduates or professionals interested in specializing in data science and analytics.
  • Individuals who enjoy working with data and exploring patterns, trends, and predictions.
  • Those with strong mathematical and analytical skills who want to make data-driven decisions.
  • Students passionate about solving complex problems using data and statistical tools.
If you are strongly interested in data, machine learning, and analytical techniques, this data science and analytics course will provide the ideal foundation for a career in Data Science and Analytics.

Semester 1

  • Advanced Database Management Systems
  • Computer Networks and Security
  • Next Gen Operating Systems
  • Mathematical Tools & Techniques
  • Python Programming & Applications
  • Computational Structures & Algorithms

Semester 2

  • Machine Learning Algorithms Using Python
  • Data Mining & Business Intelligence
  • Knowledge Representation & Artificial Intelligence
  • Data Integration & ETL
  • Exploratory Data Analysis Tools & Techniques
  • Minor I
  • Open Elective I

Semester 3

  • Machine Learning Using Cloud Computing
  • Big Data Technologies Using Hadoop
  • Advanced Tools & Techniques for Data Science
  • Principles of Data Governance
  • Innovation & Entrepreneurship
  • Minor - II
  • Open Elective - II

Semester 4

  • Data Analytics Techniques
  • Principles of Natural Language Processing & Deep Learning
  • Responsible AI: Principles & Ethical Considerations
  • Project
  • Internship
INDIAN STUDENTS

  • Register yourself for MCA in Data Science & Analytics by clicking here on our Online Application Platform.
  • Fill in all information correctly and accurately as required in the Online Application Platform.
  • Upload the scanned copy of the following documents :
    • Original 10th Mark sheet
    • Original 12th or Equivalent Mark sheet
    • 1 photo Id proof
    • 1 Address proof
    • 1 passport sized photograph
  • Make a payment of Rs. 500 (non-refundable) against STAC (Seamedu Technical Assessment and Counseling) After completing the above steps, you will receive a confirmation of your application being submitted using your registered email ID.

Within 15 days of application of admission, you will be intimated on your selection (if selected) MCA in Data Science & Analytics by email on your registered email id. On receipt of the email, please complete the following:

  • Please sign in to the Seamedu Online Application Platform using your registered username and password.
  • Please respond to any additional queries that arise.
  • Make payment as described by the counselor.
  • On receipt of the same, Provisional Admission letter will be issued for the course.

Submit the filled-in Final Admission form and copies of the following documents.

  • Two photo copies of 10th Mark sheet
  • Two photo copies of 12th or Equivalent Mark sheet
  • Two photo copies of photo Id proof
  • Two photocopies of Address proof
  • Six passport sized photographs with red background

Note: Please carry the Original documents for Verification. You’ll get all your original documents back.

INTERNATIONAL STUDENTS

  • Register yourself for MCA in Data Science & Analytics by clicking here on our Online Application Platform.
  • Fill in all information correctly and accurately as required in the Online Application Platform.
  • Upload the scanned copy of the following documents :
    • Valid Passport
    • Marks transcripts of
      • High school
      • Bachelor’s Degree (if applicable)
      • Previous VISA to India if any
  • Make a payment of $50 (non-refundable) against STAC (Seamedu Technical Assessment and Counseling) After completing the above steps, you will receive a confirmation of your application being submitted using your registered email ID.

Within 15 days of your application, you will be intimated about your selection (if selected) MCA in Data Science & Analytics by email on your registered email ID. On receipt of the email, please complete the following process :

  • Please sign in to the Seamedu Online Application Platform using your registered username and password.
  • Complete the set of steps as prompted
  • Make a payment of $160 as processing and eligibility fees and $350 as admission confirmation fee [We adjust the admission confirmation fee against the total fees.] *Both fee amounts are non-refundable

On receipt of the Provisional Admission Letter, please complete the following process :

  • Have all Marks Transcripts attested by the Ministry of Higher Education in your country
  • Apply for visa at the nearest Indian mission or Indian Embassy in your country (You must take an endorsed Student Visa)
  • Email us a copy of the attested transcripts and the visa issued

On arrival in India, you must report to the International Students’ Cell to take admission in person

Fill in and submit the Final Admission Form along with copies of the following documents :

  • Endorsed Student Visa
  • Medical Fitness Report / Yellow Fever Vaccination Card
  • C-Form and House Agreement
  • 4 Photographs
  • Complete Payment of Fee / Receipts

  • All foreign students must take the English Language Proficiency Test. Clearance of this test is a must for firm admission.
  • You need to report to the FRO for registration. Students must register within 14 days of arrival in India or they may have to pay late fees.

Eligibility:

Campus: Pune

Course Duration: 2 Years

Why choose MCA in data science and analytics?
As data becomes the backbone of modern decision-making, organizations worldwide are seeking skilled data scientists and analysts who can transform complex data into actionable insights. The MCA in data science and analytics program equips students with cutting-edge skills in data handling, statistical modeling, machine learning, and data visualization, enabling them to address real-world challenges across various industries. Through a blend of theoretical knowledge and practical application, this data science and analytics program prepares students to harness the power of data to drive business strategies, improve efficiencies, and innovate.  
Graduates from the data science and analytics program will be well-prepared for roles such as Data Analyst, Data Scientist, Business Intelligence Analyst, and more. The MCA curriculum includes hands-on projects with real-world data sets, equipping students to enter the workforce with the skills and experience needed to succeed in today’s data-driven landscape. 

Who should enroll in the MCA in data science and analytics course?
This data science and analytics program is ideal for: 
  • IT graduates or professionals interested in specializing in data science and analytics.
  • Individuals who enjoy working with data and exploring patterns, trends, and predictions.
  • Those with strong mathematical and analytical skills who want to make data-driven decisions.
  • Students passionate about solving complex problems using data and statistical tools.
If you are strongly interested in data, machine learning, and analytical techniques, this data science and analytics course will provide the ideal foundation for a career in Data Science and Analytics.

Semester 1

  • Advanced Database Management Systems
  • Computer Networks and Security
  • Next Gen Operating Systems
  • Mathematical Tools & Techniques
  • Python Programming & Applications
  • Computational Structures & Algorithms

Semester 2

  • Machine Learning Algorithms Using Python
  • Data Mining & Business Intelligence
  • Knowledge Representation & Artificial Intelligence
  • Data Integration & ETL
  • Exploratory Data Analysis Tools & Techniques
  • Minor I
  • Open Elective I

Semester 3

  • Machine Learning Using Cloud Computing
  • Big Data Technologies Using Hadoop
  • Advanced Tools & Techniques for Data Science
  • Principles of Data Governance
  • Innovation & Entrepreneurship
  • Minor - II
  • Open Elective - II

Semester 4

  • Data Analytics Techniques
  • Principles of Natural Language Processing & Deep Learning
  • Responsible AI: Principles & Ethical Considerations
  • Project
  • Internship

INDIAN STUDENTS

  • Register yourself by clicking here on our Online Application Platform.
  • Fill in all information correctly and accurately as required in the Online Application Platform.
  • Upload the scanned copy of the following documents :
    • Original 10th Mark sheet
    • Original 12th or Equivalent Mark sheet
    • 1 photo Id proof
    • 1 Address proof
    • 1 passport sized photograph
  • Make a payment of Rs. 500 (non-refundable) against STAC (Seamedu Technical Assessment and Counseling) After completing the above steps, you will receive a confirmation of your application being submitted using your registered email ID.

Within 15 days of application of admission, you will be intimated on your selection (if selected) by email on your registered email id. On receipt of the email, please complete the following:

  • Please sign in to the Seamedu Online Application Platform using your registered username and password.
  • Please respond to any additional queries that arise.
  • Make payment as described by the counselor.
  • On receipt of the same, Provisional Admission letter will be issued for the course.

Submit the filled-in Final Admission form and copies of the following documents.

  • Two photo copies of 10th Mark sheet
  • Two photo copies of 12th or Equivalent Mark sheet
  • Two photo copies of photo Id proof
  • Two photocopies of Address proof
  • Six passport sized photographs with red background

Note: Please carry the Original documents for Verification. You’ll get all your original documents back.

INTERNATIONAL STUDENTS

It is shown by default, until the Please shortlist the course that you would like to pursue. You may also mail us your queries to intl.student@seamedu.com.

  • Register yourself by clicking here on our Online Application Platform.
  • Fill in all information correctly and accurately as required in the Online Application Platform
  • Upload the scanned copy of the following documents :
    • Valid Passport
    • Marks transcripts of
      • High school
      • Bachelor’s Degree (if applicable)
      • Previous VISA to India if any
  • Make a payment of $50 (non-refundable) against STAC (Seamedu Technical Assessment and Counseling) After completing the above steps, you will receive a confirmation of your application being submitted using your registered email ID.

Within 15 days of your application, you will be intimated about your selection (if selected) by email on your registered email ID. On receipt of the email, please complete the following process :

  • Please sign in to the Seamedu Online Application Platform using your registered username and password.
  • Complete the set of steps as prompted
  • Make a payment of $160 as processing and eligibility fees and $350 as admission confirmation fee [We adjust the admission confirmation fee against the total fees.] *Both fee amounts are non-refundable

On receipt of the Provisional Admission Letter, please complete the following process :

  • Have all Marks Transcripts attested by the Ministry of Higher Education in your country
  • Apply for visa at the nearest Indian mission or Indian Embassy in your country (You must take an endorsed Student Visa)
  • Email us a copy of the attested transcripts and the visa issued

  • On arrival in India, you must report to the International Students’ Cell to take admission in person
  • Fill in and submit the Final Admission Form along with copies of the following documents :
    • Endorsed Student Visa
    • Medical Fitness Report / Yellow Fever Vaccination Card
    • C-Form and House Agreement
    • 4 Photographs
    • Complete Payment of Fee / Receipts

  • All foreign students must take the English Language Proficiency Test. Clearance of this test is a must for firm admission.
  • You need to report to the FRO for registration. Students must register within 14 days of arrival in India or they may have to pay late fees.

Eligibility:

Campus: Pune

Course Duration: 2 Years

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My experience at Seamedu has been very wonderful till now. It has been 3 years since I have joined the college and I have learnt a lot, not just academically but in all other aspects of career development. Most importantly the placement of Seamedu college is very good. I received the opportunity to get selected in one of the leading companies . Faculty members have been supportive throughout. The all-time support and motivation of the faculty members has enlightened me throughout this wonderful journey.

I am extremely grateful and honoured to have been a part of SEAM. They have consistently provided me with a plethora of opportunities that not only enhanced my skills but also enriched my core knowledge. The co-curricular activities which were actively held in SEAM created a vibrant environment that were fun, intuitive and engaging. I am grateful for the placement team in SEAM for their relentless support and encouragement which empowered us to push our boundaries and helped me to utilise my skills in the future at such a reputed organisation.

PLACEMENTS

At Seamedu, we believe that regular interactions with distinguished industry professionals and corporate leaders from the media, management, and technology sectors play a vital role in the holistic development of our students. Our placement department organizes guest lectures, seminars, and workshops, inviting seasoned experts to share their insights and experiences. Additionally, we conduct regular training and placement activities, including soft skills development sessions, to enhance students' personal and professional growth.

KNOW MORE

MEET THE TEAM

Ranjana Singh

Senior faculty - Data Science and Analytics

Ranjana Singh

Senior faculty - Data Science and Analytics

Ranjana Singh is an Assistant Professor with over 12 years of teaching and industrial experience. She holds a B. Tech. in Information Technology and an M. Tech. in Computer Science from SPPU. Throughout her career, she has served in various roles, including Training and Placement Officer, NSS Program Officer, Development Manager, and Event Coordinator. Ranjana has successfully supervised numerous outreach activities and mentored ESG (Environment, Social, Governance) internships, demonstrating her commitment to both academic and extracurricular development. Her diverse experience and leadership contribute to creating a holistic learning environment for students.

Vishal Gosavi

Senior Faculty- Communication Studies

Vishal Gosavi

Senior Faculty- Communication Studies

Vishal is a dedicated trainer and professor with 18+ years of experience in effective speaking, communication, voice and accent, soft skills, and personality development. He has worked in high-volume education hubs, designing and delivering impactful curricula. Vishal is now seeking a platform where he can further apply his expertise to contribute to student and institutional growth.

TALK TO OUR
CAREER COUNSELLOR

info@seamedu.com +91 9225088657

Career Guide For MCA in Data Science & Analytics

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