Data science fundamentals – Understand concepts, methodologies, and the data analysis lifecycle.
Statistical analysis & data modeling – Learn statistical techniques and data modeling methods to analyze complex data sets effectively.
Machine learning & predictive analytics – Master machine learning algorithms for predictions, classifications, and optimization in various domains.
Big data technologies – Explore big data frameworks such as Hadoop and Spark to manage and analyze large-scale data efficiently.
Data visualization & communication – Learn to create impactful visualizations and reports to communicate insights to stakeholders effectively.
Natural language processing (NLP) – Explore NLP techniques for text analysis, sentiment analysis, and language processing.
Data mining & pattern recognition – Discover data mining techniques to identify patterns and make informed predictions.
Database management & SQL – Develop proficiency in managing databases and writing SQL queries to extract, transform, and load data.
Business intelligence & analytics tools – Gain hands-on experience with tools like Tableau, Power BI, and R/Python for data analysis and visualization.
Capstone project – Apply your knowledge to a real-world data project, such as building a predictive model, analyzing business trends, or implementing a recommendation system.
Semester 1
Semester 2
Semester 3
Semester 4
Want to build a successful data science and analytics career in India? Let’s learn about your career opportunities:
The MCA in data science and analytics program prepares students for diverse roles in industries including finance, healthcare, retail, and technology, where data-driven strategies are key to success. This program empowers graduates with the skills to tackle real-world data challenges and excel in the rapidly growing field of data science and analytics.
The MCA in data science and analytics is a specialized postgraduate program designed to provide students with in-depth knowledge and practical skills in data analysis, machine learning, big data technologies, and business intelligence. The course equips students to analyze large datasets, develop predictive models, and extract actionable insights to drive business decisions across various industries.
Data science is an interdisciplinary field that uses algorithms, statistics, and machine learning to extract insights and knowledge from structured and unstructured data. Data analytics focuses on analyzing raw data to identify patterns, trends, and actionable insights that drive decision-making in businesses.
Data Science: Encompasses data analysis, predictive modeling, and the development of algorithms to address complex problems. It involves advanced technologies like AI and machine learning.
Data Analytics: Concentrates on interpreting existing data using statistical tools to uncover trends and insights, primarily for immediate decision-making.
Data science and analytics are crucial because they:
Graduates can pursue roles such as:
The average salary for MCA data science and analytics students will range from 12 Lakhs to 20 Lakhs per annum.
The MCA in a data science course is a 2-year postgraduate course.
At Seamedu, we believe that regular interactions with distinguished industry professionals and corporate leaders from the media, management, and technology sectors play a vital role in the holistic development of our students. Our placement department organizes guest lectures, seminars, and workshops, inviting seasoned experts to share their insights and experiences. Additionally, we conduct regular training and placement activities, including soft skills development sessions, to enhance students' personal and professional growth.
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