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Manipal Online University

Online BCA in Data Science & Analytics from Manipal University

The Online BCA in Data Science & Analytics from Manipal University Jaipur is a comprehensive undergraduate program designed to equip...

Online BCA in Data Science & Analytics from Manipal University

The Online BCA in Data Science & Analytics from Manipal University Jaipur is a comprehensive undergraduate program designed to equip students with the essential technical, analytical, and computational skills required to excel in the rapidly growing field of data science. Professionals with training in data analytics and data management are highly sought after in a variety of industries, including marketing, IT, e-commerce, healthcare, and finance, as businesses increasingly rely on data-driven insights to inform their strategic choices. To ensure that graduates are equipped to handle real-world difficulties in the data-driven landscape, this program offers a carefully planned curriculum that combines fundamental computing skills with advanced analytics, machine learning, and big data technologies. Students gain skills in working with both organized and unstructured data, applying statistical methods, creating predictive models, and interpreting findings to inform business decisions throughout the course of three years (six semesters). Through projects, case studies, and practical exercises utilizing technologies like Python, R, SQL, Tableau, and other analytics platforms, the curriculum places a strong emphasis on hands-on learning. The curriculum equips students to get valuable insights from intricate datasets and convert these insights into practical tactics by fusing statistical modeling, database administration, and programming.

The emphasis on industry-relevant applications of data analytics, such as cloud-based analytics, machine learning, artificial intelligence, and data visualization, is a fundamental component of the Online BCA in Data Science & Analytics. In order to bridge the gap between technical proficiency and commercial decision-making, students receive training on how to deal with real-world datasets, create analytical solutions, and successfully convey their findings. Additionally, by encouraging critical thinking, problem-solving, and flexibility, the program equips students to succeed in fast-paced work settings where data is essential. Graduates of this program are equipped for a variety of jobs, such as analytics consultants, machine learning engineers, data engineers, business analysts, and data analysts. In order to help students progress in their jobs, the program also provides a solid basis for future education, such as an MBA in Business Analytics, an MCA, or an M.Sc. in Data Science. For students hoping to succeed in the data-driven world, Manipal University Jaipur’s Online BCA in Data Science & Analytics provides a strong route with its demanding curriculum, hands-on emphasis, and industry alignment.

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Key Program of Online BCA in Data Science & Analytics from Manipal University

The Online BCA in Data Science & Analytics from Manipal University Jaipur is designed to equip students with the technical, analytical, and computational skills required to excel in the fast-growing field of data science. With businesses increasingly relying on data to drive decisions, this program provides a strong foundation in programming, statistics, data management, and machine learning, combined with practical exposure to real-world datasets and tools. It prepares students to tackle complex data problems, generate actionable insights, and contribute meaningfully to organizational strategy.

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Comprehensive Curriculum in Data Science and Analytics: The program covers a wide range of subjects, from programming languages like Python and R to data visualization, machine learning, and statistical modeling. Students gain end-to-end exposure to data handling, analysis, and interpretation, ensuring a well-rounded understanding of the field.
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Emphasis on Programming and Computational Skills: Students learn programming languages and tools critical for data analysis, including Python, R, SQL, and Java. This enables them to manipulate datasets, implement algorithms, and develop analytics solutions efficiently.
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Hands-On Learning with Real-World Datasets: The curriculum integrates project-based learning, case studies, and practical exercises, allowing students to work on actual datasets and solve real-world business problems. This practical focus prepares them for industry-ready roles.
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Exposure to Machine Learning and AI Techniques: The program includes modules on machine learning, predictive modeling, and artificial intelligence, enabling students to develop smart, automated, and scalable analytical solutions.

Course Curriculum of Online BCA in Data Science & Analytics from Manipal University

The curriculum progressively builds technical and analytical skills, starting from core programming and database management to advanced topics in machine learning, big data, and cloud-based analytics. With a combination of theoretical knowledge, practical applications, and project-based learning, students gain the expertise needed to interpret data, develop predictive models, and provide actionable insights for businesses.

Semester 1
  • Introduction to Computer Science – Basics of computer systems, software, hardware, and digital literacy.
  • Programming Fundamentals (Python / C++) – Introduction to programming concepts, data types, control structures, and problem-solving.
  • Mathematics for Computing – Sets, relations, functions, matrices, and fundamentals of discrete mathematics for programming.
  • Business Communication – Effective communication skills for professional settings.
  • Environmental Studies – Principles of sustainability and the impact of technology on the environment.
Semester 2
  • Object-Oriented Programming – Concepts of classes, objects, inheritance, and polymorphism.
  • Database Management Systems (DBMS) – Data modeling, SQL, and relational database management.
  • Probability and Statistics – Basics of probability, descriptive statistics, and inferential analysis.
  • Web Technologies – Fundamentals of HTML, CSS, JavaScript, and web application development.
  • Software Engineering Principles – Introduction to SDLC, software design, and project management.
Semester 3
  • Data Structures and Algorithms – Efficient storage, retrieval, and processing of data.
  • Data Analytics Techniques – Descriptive analytics, exploratory data analysis, and business intelligence
  • Python for Data Science – Using Python libraries such as Pandas, NumPy, and Matplotlib for data handling and visualization.
  • Operating Systems and Networking – Concepts of OS, file systems, and networking basics.
  • Elective 1 – Choice of specialization or skill-based course in emerging technologies.
Semester 4
  • Data Visualization and Reporting – Tools and techniques for representing data insights effectively (Tableau, Power BI).
  • Machine Learning Fundamentals – Supervised and unsupervised learning, model training, and evaluation.
  • Big Data Analytics – Introduction to Hadoop, Spark, and processing large-scale datasets.
  • Data Mining and Predictive Modeling – Techniques to identify patterns and forecast outcomes.
  • Elective 2 – Advanced topics or applied analytics modules.
Semester 5
  • Artificial Intelligence for Data Science – AI concepts, neural networks, and practical applications.
  • Cloud Computing and Data Storage – Using cloud platforms for storage, computation, and scalable analytics solutions.
  • Business Analytics and Decision Making – Applying data analytics to solve business problems and support strategic decisions.
  • Capstone Project Preparation – Planning and designing projects based on real-world datasets.
  • Elective 3 – Advanced elective in data science, analytics, or programming.
Semester 6
  • Capstone Project / Internship – Implementation of a comprehensive project using real-world data, analytics tools, and techniques.
  • Data Ethics and Governance – Understanding ethical, legal, and privacy issues in data handling.
  • Advanced Machine Learning and AI Applications – Deep learning, reinforcement learning, and AI-based solutions.
  • Industry Integration and Professional Skills – Preparing for job roles through workshops, case studies, and resume-building exercises.
  • Comprehensive Assessment / Viva – Final evaluation of technical knowledge, analytical skills, and project outcomes.
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Learning Outcomes of Online BCA in Data Science & Analytics from Manipal University

In today’s digital era, where data is one of the most valuable resources, the program equips students with a blend of technical, analytical, and problem-solving skills essential for careers in data science, business analytics, machine learning, and artificial intelligence. By the end of the program, graduates are expected to have both a strong foundation in computing and programming, as well as the capability to extract, analyze, and interpret data to generate actionable insights.

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Graduates gain strong skills in programming languages such as Python, R, SQL, and Java, enabling them to efficiently manipulate data, develop algorithms, and create automated solutions. They are adept at handling both structured and unstructured datasets and can implement database management systems to store and retrieve information effectively.
2
Students develop a deep understanding of statistical methods, probability, and data analytics techniques. This empowers them to analyze trends, identify patterns, and make data-driven decisions that support business objectives. Their ability to apply quantitative methods ensures accuracy and reliability in deriving insights from complex datasets.
3
The program provides exposure to machine learning algorithms, predictive modeling, and AI-based solutions. Graduates can build models to forecast outcomes, recognize patterns, and automate processes, positioning them to contribute to innovation and efficiency in data-centric projects across industries.
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A key learning outcome is the ability to translate complex analytical results into meaningful insights using visualization tools like Tableau, Power BI, and Python libraries. Graduates can communicate findings effectively to stakeholders, bridging the gap between technical analysis and business strategy.

Eligibility Criteria for Online BCA in Data Science & Analytics from Manipal University

  • iconCandidates must have completed 10+2 (Class 12 or equivalent) from a recognized board of education.
  • iconStudents from any stream (Science, Commerce, or Arts) are eligible, though a background in mathematics is advantageous.

Online BCA in Data Science & Analytics from Manipal University

Explorе thе transparеnt and detailed fee structurе of thе Online BCA in Data Science & Analytics from Manipal University, providing clarity on tuition and associatеd costs for prospеctivе studеnts.

Semesters

Fees

Semester 1

22,500

Semester 2

22,500

Semester 3

22,500

Semester 4

22,500

Semester 5

22,500

Semester 6

22,500

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Career Opportunities after Online BCA in Data Science & Analytics from Manipal University

As businesses and organizations increasingly rely on data-driven insights to make strategic decisions, professionals skilled in analyzing, interpreting, and managing data are in high demand. This program equips students with technical expertise, analytical thinking, and practical experience, enabling them to contribute effectively to business intelligence, predictive analytics, and data-driven decision-making processes across industries. Graduates are also well-prepared for higher studies, opening additional pathways in technology and management.

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IconMachine Learning Engineer
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IconAnalytics Consultant
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Top Hiring Companies

Graduates of the Online BCA in Data Science & Analytics from Manipal University Jaipur are equipped with strong technical skills, analytical expertise, and practical experience in handling large datasets and developing predictive models. This makes them highly desirable to organizations across IT, finance, healthcare, e-commerce, and consulting sectors. Companies hire these graduates for roles in data analysis, business intelligence, machine learning, AI development, and analytics-driven decision-making.

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Q&A

Still have questions? Ask your question here and our community of experts will find an answer. Go to the community page here

Frequently Asked Questions

Do I need prior programming or analytics experience to enroll?Icon
No prior experience is required. The program starts with foundational courses in programming, mathematics, and data handling before progressing to advanced topics in analytics, machine learning, and AI, making it suitable for beginners.
Does the program include practical learning components?Icon
Yes, the curriculum emphasizes hands-on learning through projects, case studies, and internships. Students work on real-world datasets, develop analytical solutions, and apply machine learning techniques, ensuring industry readiness.
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