BCA-DATA SCIENCE AND BIG DATA ANALYTICS

Bachelor of Computer Application (BCA) Data Science with honours

BEST UNIVERSITY FOR BCA-DATA SCIENCE AND BIG DATA ANALYTICS IN ROORKEE, UTTARAKHAND

Slide 1 Heading
Lorem ipsum dolor sit amet consectetur adipiscing elit dolor
Click Here
Slide 2 Heading
Lorem ipsum dolor sit amet consectetur adipiscing elit dolor
Click Here
Slide 3 Heading
Lorem ipsum dolor sit amet consectetur adipiscing elit dolor
Click Here

BCA in Data Science and Big Data Analytics is a specialized undergraduate program designed to equip students with the skills and knowledge required to handle, analyze, and interpret large datasets. The 3-year course focuses on the fundamentals of computer applications alongside advanced techniques in data science, big data, machine learning, and analytics. Students learn to work with powerful tools and technologies like Hadoop, Spark, Python, and SQL to extract meaningful insights from complex data. With an emphasis on data visualization, business intelligence, and predictive modeling, this program prepares graduates for in-demand roles such as data scientists, big data engineers, and data analysts. As industries increasingly rely on data-driven decision-making, this course offers excellent career opportunities in fields like finance, healthcare, e-commerce, and technology, making it an ideal choice for aspiring data professionals.

  • Develop Data Analysis Skills: Equip students with essential skills in data collection, cleaning, and analysis to process and interpret large datasets.
  • Master Big Data Technologies: Introduce students to key tools and platforms such as Hadoop, Spark, and NoSQL databases for efficient data processing and storage.
  • Learn Machine Learning and AI: Enable students to build and deploy machine learning models to predict trends, classify data, and make informed decisions.
  • Enhance Data Visualization: Teach students how to visualize complex data using tools like Tableau and Power BI, enabling easy interpretation and presentation of data insights.
  • Develop Business Intelligence Capabilities: Provide students with the knowledge to use data analytics to drive business decisions and improve organizational performance.
  • Prepare for Industry Roles: Equip students with the skills required for a range of data-related roles in sectors such as technology, finance, healthcare, and e-commerce.
  • Educational Qualification: Candidates must have completed their 12th grade (Class 12) or equivalent from a recognized board, with Mathematics and Computer Science as core subjects.
  • Minimum Marks: Typically, a minimum of 50-60% aggregate marks is required in the qualifying examination. This may vary depending on the institution.
  • Age Limit: Some institutions may set an age limit for applicants, generally between 17-25 years at the time of admission.
  • Entrance Exam: Admission may be based on performance in a university-specific or entrance exam, or through direct admission based on merit.

Entrance Exams for

BCA-DATA SCIENCE AND BIG DATA ANALYTICS

include:

Common University Entrance Test (CUET)

university-Specific Exam (PUET-CARE)

Click here for a detailed Fee Structure.

Admission Open

PLACEMENT

CAREER PROSPECTS

 

A BCA in Data Science and Big Data Analytics offers exceptional career prospects in the rapidly expanding fields of data analysis and big data management. Graduates can pursue roles such as data scientists, big data analysts, machine learning engineers, business intelligence analysts, data engineers, and data architects across industries like finance, healthcare, e-commerce, technology, and marketing. As organizations increasingly rely on data to drive decision-making, streamline operations, and improve customer experiences, the demand for skilled professionals in data science and big data analytics continues to rise. This program equips students with expertise in data mining, statistical analysis, machine learning, data visualization, and big data tools like Hadoop and Spark, preparing them for high-impact roles in managing and analyzing large datasets. A BCA in Data Science and Big Data Analytics ensures strong career growth, job security, and lucrative opportunities in a technology-driven world where data is central to business success and innovation.

FAQs

BCA in Data Science and Big Data Analytics is a 3-year undergraduate program that combines computer applications with specialized training in data science, big data technologies, machine learning, and analytics. It prepares students for data-driven roles in industries like technology, finance, and healthcare.

To be eligible for BCA in Data Science and Big Data Analytics, candidates must have completed 12th grade with Mathematics as a core subject. A minimum aggregate of 50-60% in Class 12 is typically required, and admission may be based on entrance exams or merit-based selection.

Graduates can pursue roles such as Data Scientist, Big Data Engineer, Machine Learning Engineer, Business Intelligence Analyst, Data Analyst, and Data Architect. With the rise of big data and data-driven decisions, career opportunities are vast across industries like technology, finance, healthcare, and e-commerce.

In this program, students gain skills in data analysis, big data technologies like Hadoop and Spark, machine learning, data visualization, SQL, and cloud computing, preparing them for real-world data-driven roles in top organizations.

The BCA in Data Science and Big Data Analytics program typically spans 3 years, divided into 6 semesters, and includes both theoretical knowledge and practical, hands-on experience with industry-standard tools.

The scope of BCA in Data Science and Big Data Analytics is vast. As industries increasingly rely on big data and advanced analytics, the demand for skilled professionals in this field continues to grow, offering promising job prospects and high-paying roles.

Key subjects include data analysis, big data technologies (like Hadoop and Spark), machine learning, data visualization, SQL, cloud computing, and business intelligence. The program also includes practical projects and industry tools to ensure hands-on learning.

The program provides industry-relevant skills, hands-on experience with big data tools, and opens doors to lucrative job opportunities in various sectors. It also serves as a solid foundation for higher studies and specialized certifications in data science.

* For further details, refer to T&C Click Here.

The University offers hostel facilities with designated residential blocks for both boys and girls, available on a first-come, first-served basis. Accommodation is provided on a triple-sharing arrangement. Students who wish to avail themselves of on-campus hostel facilities are required to deposit the fee in advance.