Online MCA in Data Science is a postgraduate program, which is specially designed for working professionals and busy learners to upskill themselves and train in the field of data science. This program is delivered in an online mode, which also provides flexibility to the students to manage their work, studies, and other commitments properly. This program is delivered with the support of advanced LMS technology making them effective with real-world case studies, live and recorded lectures, online assignments, live projects, and quizzes, making them more interactive.
Sharda Online MCA syllabus is designed with the help of industry practitioners, who cover all the topics which are in-demand and modern in the industry. These subjects include data mining, machine learning, big data analytics, programming, and database management, data analysis, software development, system management, database administration, and IT consulting. So, if you want to become an expert in the field of data science and enhance your career, then this Sharda Online MCA in Data Science program is an ideal program for you.
Course | Per Semester | Total Fees | One Time Fees |
---|---|---|---|
Data Science |
|
Semester Ⅰ | Semester Ⅱ |
Mathematical Foundation for Computer Application C Programming and File Handling * Operating System and Unix Shell Programming* Computer Architecture and Organization Data Communication and Computer Networks Introduction to Computers & Technology |
Data Structures with C* Database Management System* Software Engineering Java Programming* Logic Building and Soft Skills |
Semester Ⅲ | Semester Ⅳ |
Application Development Using Python* Design and Analysis of Algorithms* Statistical Methods in Decision Making Data Visualization* Introduction to Data Science |
IT Project Management Artificial Intelligence and Machine Learning* SQL for Data Science Time Series Analytics* Project |
Skills | Description |
Advanced Data Analysis and Interpretation |
You will master the examination of intricate, large-scale data sets through statistical and machine learning methods. Capability to derive useful insights, detect patterns, and make informed decisions based on data by means of sophisticated algorithms and tools, such as Python, R, and specialized data analysis packages. |
Machine Learning and Predictive Modeling | You will gain the capability to design, deploy, and tune machine learning models for predictive analytics. Skills involve supervised and unsupervised learning, deep learning architecture, model performance, and tuning to address practical problems like classification, regression, and clustering. |
Big Data Technologies and Management |
Gain knowledge to manage big data environments through platforms such as Hadoop, Spark, and NoSQL databases. Capability in data storage, processing, and retrieval management in distributed environments to enable scalable analytics solutions. |
Data Visualization and Communication |
Gain the skill to design advanced graphical representations of data using technologies such as Tableau, Power BI, or D3.js. Ability to convert intricate data insights into concise, actionable reports for decision-makers to aid strategic decision-making. |
Data Mining and Knowledge Discovery |
Get detailed understanding of data mining methods to identify concealed patterns and relationships in datasets. Using clustering, association rule mining, and anomaly detection techniques to enable business intelligence and enhance operational effectiveness. |
Job Positions | Responsibilities | Average Salary per annum |
Data Scientist |
Data Scientists create and implement machine learning models to address business issues. They interpret large data sets to discover insights and trends that inform decision-making. Their task involves creating experiments, testing models for quality, and collaborating with stakeholders to map data results back to business objectives. | ₹8,00,000 - ₹12,00,000 |
Machine Learning Engineer | Machine Learning Engineers develop and keep up scalable machine learning systems. They tune algorithms for improved performance, deploy models into applications, and keep track of model accuracy over time, revising them, when necessary, with latest information. | ₹9,00,000 - ₹14,00,000 |
Big Data Engineer | Big Data Engineers design and maintain big data systems with tools such as Hadoop and Spark. They work on data storage, processing, and security in distributed systems, providing clean and usable data for data scientists to analyze. | ₹7,00,000 - ₹12,00,000 |
Data Analyst (Lead/Senior) |
Senior Data Analysts conduct rigorous statistical analysis and data mining on big data. They create dashboards and reports for business decision-makers, monitor key indicators, and mentor junior analysts to make sense of data. | ₹6,00,000 - ₹10,00,000 |
Business Intelligence (BI) Analyst |
BI Analysts create business intelligence tools based on software like Power BI or Tableau. They study business requirements, create reports, perform market analysis, and collaborate with management to present data-driven suggestions for enhancing business strategies. | ₹5,50,000 - ₹9,00,000 |
The Online MCA in Data Science by Sharda Online University is a postgraduate program aimed at providing students with advanced skills in data analysis, machine learning, big data technology, and decision-making using data. The course is available in fully online mode, so it can be pursued by working professionals and students all around the globe.
The candidates should possess a bachelor's degree in computer science, information technology, or a related discipline with a minimum aggregate percentage decided by the university.
Students are given hands-on experience with programming languages such as Python and R, large data platforms like Hadoop and Spark, machine learning libraries, data visualization tools such as Tableau, and database management systems.
Yes. The flexible online nature of the program enables working professionals to learn without having to discontinue their work while acquiring sophisticated data science skills to advance their professional functions and prospects.
The university offers exclusive online learning platforms, digital resources access, frequent virtual classes, assignments, tests, and assistance from experienced faculty to deliver quality education and student success.