The Online BCA in Data Science & Analytics at Manipal Online University is a specialized undergraduate program designed especially for helping students in acquiring trendy skills in data analysis, machine learning, artificial intelligence (AI), and big data technologies. This three-year online program intends to develop basic knowledge with a strong focus on computer applications while concentrating on data-driven decision-making -an important skill in the current digital economy.
This program covers the specialization subject, that is, Data Science & Analytics, which allows the students to learn the specific skills related to this domain only. The students get to focus on the specific industry and learn to work with Python, R, SQL and advanced statistical methods to make informed decisions for the growth and improvement of the company. The advanced curriculum helps the students gain the practical insights of the industry, equipping them to face real-world challenges.
This online program is UGC entitled and NAAC accredited program with a highly advanced Learning Management System (LMS) and expert faculty with flexible learning options. This will create a platform for students and working professionals to make their careers better in data science, business intelligence, and analytics-driven domains.
Course | Per Semester | Total Fees | One Time Fees |
---|---|---|---|
Data Science And Analytics |
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Manipal Online BCA in Data Science & Analytics is a valid program which is credible and matches the national and international educational standards. This credibility verifies with the approvals and accreditations received by this program from various government authorities.
Semester 1 |
Semester 2 |
Semester 3 |
Fundamentals of Mathematics
Technical Communication
C Programming
Fundamentals of Computers & Digital Systems
Introduction to Web Programming
Environmental Science
C Programming Lab
Web Programming Lab |
Basic Statistics and Probability
Data Structures
Database Management System
Principle of Programming Languages
Object-Oriented Programming using C++
Database Management System Lab
Data Structures using C++ Lab |
Computer Organization and Architecture
Java Programming
Data Communication & Protocols
Operating Systems
Artificial Intelligence for Problem Solving
Java Programming Lab
Operating System Lab |
Semester 4 |
Semester 5 |
Semester 6 |
Python Programming
Software Engineering
Data Mining & Visualization
Introduction to Network Security
Python Programming Lab
Data Mining and Visualization Lab |
Mobile Application Development
Machine Learning
Cloud Computing & Applications
Machine Learning Lab
Aptitude and Technical Development
Big Data Analytics |
Wireless Communication
Unix and Shell Programming
Big Data
Unix and Shell Programming Lab
Project
Data Visualization with Python |
For easy Manipal Online BCA registrations, you can directly contact collegesathi and get easy admissions and expert career counselling. Other than that, you can also follow the following Manipal Online BCA admission process:
Manipal Online BCA exams evaluate the ability of the students and give them grades according to their performance. These examinations are divided into two different parts to know the growth and potential of the students.
Continuous Assessment Test (CAT) covering 30% weightage. This test includes the different quizzes, assignments, mid-term tests, and case studies that the students attempt.
Final Assessment Test (FAT) covering 70% weightage. This test includes the computer-based proctored examination in an online mode or at an exam center.
Manipal Online University has great connections with leading companies which pick the deserving candidates for jobs. This Manipal Online placement helps the students to enhance their professional journey right after completing their degree.
With the help of Manipal Online BCA syllabus and faculty, you will gain deep knowledge and skills in the analytics field. The following are the skills and expertise which you will gain during your Manipal Online BCA program:
Skills |
Description |
Data Wrangling and Pre-processing |
You will learn how to undergo procedures of cleaning, transforming, and reshaping the rough data into a more analyzable form with handling missing values, outliers, mismatches, etc. via Pandas, NumPy, and SQL. |
Statistical and Mathematical Foundations for Data Science |
Learn probability, hypothesis tests, regression, and time-series analysis form crucial foundations. It will help you to learn to extract real meaning from data. Some of the core concepts include Bayesian inference, correlation, variance, and linear algebra. |
Machine Learning and Predictive Analytics |
Learn to supervise and unsupervised learning, algorithms such as decision trees, support vector machines (SVM), random forests, and neural networks in Python, Scikit-learn, and TensorFlow are discussed under this. Modeling. |
Data Visualization and Business Intelligence |
Get the knowledge about the construction of insights in data from visualization tools like Tableau, Power BI, Matplotlib, and Seaborn. You will design dashboards and reports for decision-makers and make it easy to communicate with stakeholders in a more effective manner and lead towards data-driven decision-making. |
Big Data and Cloud Computing |
You will go through hands-on exposure to big data technologies, including Hadoop, Spark, AWS, and Google Cloud. It would be learning how to efficiently store, process, and analyze massive data sets. With big data technologies, organizations will be able to practically process and extract insights from petabytes of data in real time. |
SQL and NoSQL |
You will learn how to retrieve, manage, and optimize a database using SQL (MySQL, PostgreSQL) and NoSQL (MongoDB, Cassandra). You will acquire knowledge of the development of schemes, indexing and retrieval of data. Effective database management is necessary to address the requirements for present-day applications, which include structured and unstructured demands. |
With the help of professional skills and expertise, you will get the opportunity of exploring multiple job positions. The following are the jobs which will be available to you after completing your Manipal Online BCA in Data Science & Analytics:
Job Positions |
Responsibilities |
Average Salary per annum |
Data Analysts |
Data analysts collect and interpret large sets of data in order to discover trends and insights. They create statistical tools and visualization techniques to present data-driven solutions that help improve decision-making. |
?4,00,000 to ?8,00,000 |
Data Scientist (Entry-Level) |
Entry-level data scientists are responsible for the development of machine-learning algorithms to extract information from their data using either Python or R. They also work with big data technologies to analyze trends. |
?6,00,000 to ?12,00,000 |
Machine Learning Engineer (Junior-Level) |
Junior Machine Learning Engineers optimize algorithms and models to maximize performance in AI applications, frequently with a deployment model where they are hosted in a cloud. |
?6,50,000 to ?13,00,000 |
Data Engineer |
Data engineers build and maintain data pipelines and databases and leverage big data frameworks such as Apache, Spark and Hadoop to process their work efficiently. |
?5,50,000 to ?11,00,000 |
Junior Quantitative Analyst |
Junior quantitative analysts use statistical modeling for financial forecasts and risks. They analyze a pool of datasets and derive reports that guide financial decisions. |
?6,00,000 to ?10,00,000 |
The duration of Manipal Online BCA is 3 years (6 semesters), however the program provides the flexibility of completing the program at your own pace.
The entry requirements include completing 10+2 from a recognized board or a 10+3 diploma from any recognized institute with a minimum of 45% aggregate marks (40% for reserved categories).
The total fee for the program is ?1,35,000, and ?22,500 per semester. Also, this university provides scholarships, concessions and discounts which can reduce the overall fees.
The course will impart knowledge of Python, R, SQL, C, C++, Java, JavaScript, HTML, and Shell scripting, while the tools to be understood include Power BI, Tableau, Hadoop, Spark, AWS, and Google Cloud.
Yes, the Online BCA in Data Science and Analytics program is UGC entitled and NAAC-accredited, which means that it provides quality education with a valid recognition in India and abroad.