CPUEST for B.Tech

Admission Criteria:

Entrance Test Details: 
  • Exam Syllabus: Same as JEE Main
  • Exam Duration: 90 min
  • Mode of Examination: 
  1. Online: From anywhere using Desktop/Laptop with a camera. This exam is proctored though Artificial Intelligence. You can also take online Test at our admission office in Kota also
  2. Offline Center: Kota
  • Examination Date:  12th May, 19th May, 2nd June, 16th June and 7th July (Student can opt any one date). For each test, the result shall be declared within 7 days after examinations.
  • Exam Pattern:
  1. Exam consists of 45 Multiple Choice Questions with only one correct answer. 
  2. Each correct answer will award 4 marks and 1 mark will be deducted for the wrong answer. 
  3. Exam shall be proctored with AI (Artificial Intelligence) 
  • Scholarship: 
  • Criteria1: Based on students performance in CPUEST, scholarship up to 90% in tuition fee shall be awarded.
  • Criteria 2: Scholarship is also given to meritorious students based on their past academic performance. For this see scholarship details on course info page 
  • Note: In case a student is eligible to receive scholarship under both criteria, then he/she will receive scholarship whichever is higher.  
  • How to Apply:
  1. Apply online and fill all details at www.cpur.edu.in 
  2. Deposit Application fee Rs 1000/-
  • Terms & Conditions
  1. A student can appear in the CPU-EST only once in an academic session. In case it is found that the student has appeared more than once then, his eligibility for Scholarship shall stand canceled.
  2. Scholarship shall be strictly decided on the basis of the performance of the students subjected to scoring minimum cut off marks in each subject.
  3. The final decision to award scholarship and any other benefits will remain with Career Point University management and this decision will be final and binding on candidates.
 
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MCA Specialization In Data Science

Other Specialization:

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Overview

Master of Computer Application (MCA) program with a specialization in Data Science is a cutting-edge course designed to equip students with advanced skills in both computer science and data analytics. Spanning two years, the MCA with Data Science specialization curriculum covers core subjects such as Advanced Programming, Algorithms, Data Structures, Database Management Systems, and Software Engineering, along with specialized modules focusing on data science techniques, machine learning, statistical analysis, big data technologies, and data visualization. Students gain hands-on experience through practical projects, internships, and industry collaborations, applying data science concepts to real-world scenarios and honing their analytical and problem-solving abilities. Our experienced faculty, modern infrastructure, and industry partnerships ensure that students receive a comprehensive education aligned with current industry trends and demands. Graduates of our MCA program with a specialization in Data Science are well-prepared for roles such as Data Scientist, Machine Learning Engineer, Big Data Analyst, Data Engineer, and Business Intelligence Consultant in various sectors including IT, finance, healthcare, and e-commerce. We also provide career counseling, networking opportunities, and placement support to help students succeed in their chosen career paths within the rapidly evolving field of data science and analytics.

University's Accomplishments and Impact

3000+

Placements So Far

66 Lakhs

Highest Package

30

Startups

130

Patent Published

1250+

Research Publication

905

National & Int'l Journal

Trust of more than, 10,000 Students

Scope of MCA Specialization In Data Science

According to US Bureau of Labor Statistics, The employment outlook for computer and information technology occupations is exceptionally promising, with a projected growth rate significantly higher than the average across all occupations from 2022 to 2032. On average, approximately 377,500 job openings are anticipated each year within these fields. This surge is attributed to both the expansion of employment opportunities and the imperative to fill positions vacated by workers departing these occupations permanently. The robust projection underscores the ongoing demand for skilled professionals in the computer and information technology sectors over the next decade.

Department
at a Glance

  • Mission
  • Faculty
  • Curriculum Highlights
  • Facilities and Resources
  • Student Organizations and Activities
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Exclusive
Labs

  • Microsoft Innovation Center
  • Microsoft - Global Technical Support Center (GTSC)
  • IBM Software Lab For Emerging Technologies
  • Oracle Academy Lab
  • Unisys Innovation Labs
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Your Department in a Nutshell

  • Achievements
  • Patents
  • Research
  • Expert Sessions
  • Activities
  • Labs
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Eligibility & Fee Details

For Indian Students : 12th Pass with PCM OR Equivalent

Course Fee
Admission Fee (one time)
5000/- (at the time of admission)
Tuition Fee
34000/- Per Semester
Examination Fee
3000/- Per Semester
Development Fee
3000/- Per Semester
Caution Money (one time)
3000/- (Refundable)
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Scholarship Criteria

Based on performance in qualifying exam

% in Qualifying Class [1] Scholarship on Tuition Fees
Above 90% 20%
85% – 89.99% 10%
75% – 84.99% 5%
  • Early Admission Benefits Upto Rs. 3000/- Admission Taken Before 15th July 2024
  • Scholarship in Tuition fee (for all 4 semesters): up to 20% based on academic performance.

Why Join MCA Specialization In Data Science?

Joining an MCA specialization in Data Science offers numerous compelling reasons:

  • High Demand: Data Science is one of the fastest-growing fields in the technology industry. There is a significant demand for professionals who can analyze large datasets, derive meaningful insights, and make data-driven decisions across various sectors such as finance, healthcare, e-commerce, and marketing.
  • Lucrative Career Opportunities: Data scientists and data analysts are in high demand and command attractive salaries. By pursuing an MCA specialization in Data Science, you open doors to a wide range of career opportunities in industries where data-driven decision-making is crucial.
  • Growing Importance of Big Data: With the exponential growth of data generated by businesses and organizations, there is a growing need for skilled professionals who can harness the power of big data technologies and analytics tools to extract valuable insights and drive innovation.
  • Versatility and Flexibility: A specialization in Data Science equips you with versatile skills that are applicable across various domains and industries. Whether you are interested in finance, healthcare, retail, or technology, the principles and techniques of data science are relevant and applicable.
  • Impactful Contributions: Data scientists play a vital role in helping organizations make informed decisions, optimize processes, improve efficiency, and identify new opportunities. By mastering the tools and methodologies of data science, you can make meaningful contributions to your organization's success and societal advancements.

What makes Department
of MCA Specialization In Data Science unique?

The Department of MCA Specialization in Data Science stands out due to several unique characteristics:

The department offers a tailored curriculum that focuses on data science principles, methodologies, and tools. It covers a wide range of topics including statistics, machine learning, big data technologies, data visualization, and predictive analytics, ensuring that students gain comprehensive knowledge and skills in the field of data science.
The department offers a tailored curriculum that focuses on data science principles, methodologies, and tools. It covers a wide range of topics including statistics, machine learning, big data technologies, data visualization, and predictive analytics, ensuring that students gain comprehensive knowledge and skills in the field of data science.01
The department boasts a team of experienced faculty members who are experts in data science, machine learning, statistics, and related domains. They bring practical industry experience and cutting-edge research insights into the classroom, providing students with valuable insights and mentorship.
The department boasts a team of experienced faculty members who are experts in data science, machine learning, statistics, and related domains. They bring practical industry experience and cutting-edge research insights into the classroom, providing students with valuable insights and mentorship.02
The department emphasizes hands-on learning experiences, practical projects, and real-world case studies. Students have the opportunity to work on industry-relevant projects, analyze large datasets, develop machine learning models, and gain practical experience using data science tools and technologies.
The department emphasizes hands-on learning experiences, practical projects, and real-world case studies. Students have the opportunity to work on industry-relevant projects, analyze large datasets, develop machine learning models, and gain practical experience using data science tools and technologies.03
The department maintains strong partnerships with leading companies, organizations, and research institutions in the field of data science. These partnerships provide students with internship opportunities, industry projects, guest lectures, and networking events, allowing them to gain exposure to real-world applications and challenges in data science.
The department maintains strong partnerships with leading companies, organizations, and research institutions in the field of data science. These partnerships provide students with internship opportunities, industry projects, guest lectures, and networking events, allowing them to gain exposure to real-world applications and challenges in data science.04
The department is equipped with state-of-the-art laboratories, computing facilities, and software tools necessary for data analysis, machine learning, and big data processing. Students have access to industry-standard software platforms, cloud computing resources, and datasets for their academic and research activities.
The department is equipped with state-of-the-art laboratories, computing facilities, and software tools necessary for data analysis, machine learning, and big data processing. Students have access to industry-standard software platforms, cloud computing resources, and datasets for their academic and research activities.05
The department encourages research and innovation in data science through student projects, faculty-led research initiatives, and collaborations with industry partners. Students have the opportunity to engage in cutting-edge research, publish papers, and participate in conferences and competitions to showcase their work.
The department encourages research and innovation in data science through student projects, faculty-led research initiatives, and collaborations with industry partners. Students have the opportunity to engage in cutting-edge research, publish papers, and participate in conferences and competitions to showcase their work.06
The department provides comprehensive career development support, including resume building, interview preparation, and placement assistance. Career counseling sessions, workshops, and networking events are organized to help students explore career opportunities, connect with potential employers, and transition into the workforce successfully.
The department provides comprehensive career development support, including resume building, interview preparation, and placement assistance. Career counseling sessions, workshops, and networking events are organized to help students explore career opportunities, connect with potential employers, and transition into the workforce successfully.07
The department adopts an interdisciplinary approach to data science education, integrating elements of computer science, statistics, mathematics, and domain expertise. This approach enables students to develop a holistic understanding of data science and apply their skills to solve complex problems across different domains and industries.
The department adopts an interdisciplinary approach to data science education, integrating elements of computer science, statistics, mathematics, and domain expertise. This approach enables students to develop a holistic understanding of data science and apply their skills to solve complex problems across different domains and industries.08
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Placements

0 Lac
Highest Package
0 Lac
Average Salary Package
0 K
OJT Stipend per month
1-d
14-d
11-d
Archana Kumari
Harshit Sharma
Kiran Bablani
Saloni Shukla
Siraj Ali
Tarun Jain
Prateek Dhaman
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Recruiters Tie Up's

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Our Students Speak

Hello , My name is Archana from MCA 2022 batch kid k19756, I have completed my bachelor's and masters from Career Point University Kota and got job offer from tech Mahindra and Atos syntel. Career point University is the milestone of education. It is one of the best colleges for knowledge and learning. It is a well established university with excellent infrastructure , security and recreational facilities.It is a nodal center for Smart India education, both studies and co curricular activities is given equal importance. Vast number of advance courses are taught by experts in their field which helps you stand in world of technology. I got placed in two top 10 MNC's because of the knowledge I gained from my faculties. They make you job ready by encouraging and helping you.You would experience the best three years of your lives. With the activities, with the Industrial Visits and sports, you are going to learn and experience the best things of your life. A vibrant college life, a good set of friends and great memories along with a Degree in hand is what you will gain out of this university. Grateful that I studied here.
Archana Kumari
Archana KumariAssociate Software Engineer working with Tech Mahindra
Package: 3.5 LPA
Career Point University has been an instrumental part of my academic journey as I pursued my Bachelor's in Computer Applications. The university's dedicated faculty and well-structured curriculum provided me with a solid foundation in computer science. The practical approach to learning, coupled with industry-relevant experiences, prepared me effectively for the professional world. I am grateful for the opportunities and knowledge I gained at Career Point University, which have greatly contributed to my career growth in the field of computer applications.
Mayur Bhatia
Mayur BhatiaBCA
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How to Apply

Steps to Follow

STEP 1
Register Yourself
STEP 2
Verify Email
STEP 3
Fill Application Form Online
STEP 4
Pay Application Fee
STEP 5
Submit Application
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Frequently Asked Questions

MCA Specialization In Data Science at Career Point University

What is the duration of the MCA Specialization in Data Science program at Career Point University?

The MCA Specialization in Data Science program at Career Point University typically spans over two years, divided into four semesters.

What are the eligibility criteria for admission to the MCA Specialization in Data Science program?

The eligibility criteria for admission to the MCA Specialization in Data Science program at Career Point University generally include completing a bachelor’s degree in computer applications, computer science, or a related field from a recognized university with a minimum specified percentage as per university guidelines.

What subjects are covered in the MCA Specialization in Data Science curriculum?

The curriculum of the MCA Specialization in Data Science program at Career Point University covers a broad range of subjects including statistics, machine learning, big data technologies, data visualization, database management, and programming languages such as Python and R.

Are there any specialization options available within the MCA Specialization in Data Science program?

Career Point University may offer elective courses or specialization tracks within the MCA Specialization in Data Science program, allowing students to focus on specific areas such as machine learning, data engineering, business analytics, or natural language processing.

Does the MCA Specialization in Data Science program include practical training and hands-on experience?

Yes, the MCA Specialization in Data Science program at Career Point University emphasizes practical training, hands-on experience, and project work. Students have the opportunity to work on real-world data science projects, analyze datasets, develop machine learning models, and gain practical exposure to data science tools and technologies.

What are the career prospects for graduates of the MCA Specialization in Data Science program?

Graduates of the MCA Specialization in Data Science program at Career Point University can pursue various career opportunities in the field of data science, including roles such as data scientist, machine learning engineer, data analyst, business intelligence analyst, data engineer, and big data architect.

Is there any support available for internships and job placements?

Career Point University provides support for internships, job placements, and career counseling services to help students explore internship opportunities, develop job search skills, prepare for interviews, and secure employment in reputable organizations within the data science industry.

Are there opportunities for research and innovation within the MCA Specialization in Data Science program?

Yes, Career Point University encourages research and innovation within the MCA Specialization in Data Science program. Students have opportunities to engage in research projects, collaborate with faculty members on cutting-edge research initiatives, and contribute to advancements in the field of data science.

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