Introduction to data analytics – Explore the fundamentals of data collection, processing, and analysis, turning raw data into meaningful insights.
Business intelligence & data warehousing – Study the concepts and architecture of BI and data warehousing, learning how to manage and store data efficiently for analysis.
Data visualization – Master data analytics tools like Tableau, Power BI, and Python libraries to present data in a visually compelling way, helping stakeholders make informed decisions.
Statistical analysis & probability – Gain a deep understanding of statistical methods, probability, and their applications in analyzing and interpreting data.
Predictive analytics – Learn how predictive modeling techniques can forecast trends, helping organizations anticipate changes in customer behavior or market conditions.
Database management systems – Understand database design, SQL querying, and data organization for effective data retrieval and management.
Data mining techniques – Discover data mining algorithms to identify patterns and relationships in large datasets, providing valuable insights for decision-making.
Machine learning basics – Get introduced to basic machine learning concepts and models used in data analytics, enhancing decision-making processes.
Ethics in data analytics – Study ethical considerations in data analytics, focusing on data privacy, bias, and ethical decision-making in business intelligence.
Capstone project – Apply BI and data analytics skills in a real-world project, helping a business or organization use data to solve a specific problem or optimize an operation.
Semester 1
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Semester 5
Semester 6
Want to build a successful career in data analytics and business intelligence in India? Let’s learn about your career opportunities:
The BCA in Data Analytics and Business Intelligence program prepares students for dynamic roles in finance, retail, healthcare, e-commerce, and more industries, where data-driven insights are transforming decision-making. This business intelligence and data analytics degree program provides the technical, analytical, and ethical training needed to excel in these in-demand fields.
The Business Intelligence & Analytics course combines analytical and professional skills to help you become a manager who questions assumptions and makes evidence-based choices based on facts.
Informed Decision-Making: Enables businesses to make data-driven decisions.
Improved Efficiency: Identifies operational inefficiencies and streamlines processes.
Enhanced Customer Insights: Analyzes customer behavior for better targeting and engagement.
Predictive Capabilities: Forecasts trends and potential risks using predictive analytics.
Competitive Advantage: Helps businesses stay ahead by identifying market trends and opportunities.
Cost Reduction: Optimizes resources and minimizes waste through analysis.
Data Analytics: Focuses on examining raw data to find trends, insights, and patterns. It includes predictive analytics and machine learning for future-oriented decision-making.
Business Intelligence (BI): Involves using data visualization tools and dashboards to present insights from historical data, aiding in performance monitoring and strategic planning.
In essence, BI is descriptive, focusing on "what happened," while data analytics can be predictive or prescriptive, answering "why it happened" and "what will happen next."
Key topics typically include:
Students will develop:
The program provides hands-on experience with tools such as:
The typical requirements include:
Yes, most programs offer:
The estimated total pay for a data analytics and business intelligence is ₹7,35,000 per year, with an average salary of ₹6,75,000 per year.
The duration of UG courses in a related field (Data Science, Engineering, Business analytics) is around 3-4 years. The duration of PG Business Intelligence courses is around 2 years.
We, at Seamedu School of Pro-Expressionism believe that regular interactions with eminent Industry professionals and Corporate leaders from Media and Entertainment Industry, can contribute to the all-round development of the students. The placement department conducts regular guest lectures, seminars and workshops, by inviting the experience Industry professionals to share their experiences with our students.Training & Placement activities relevance to Soft skills learning sessions are conducted regularly so as to enhance their overall development for personal & professional grooming.
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