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The Evolution of Data Analytics in India

The relevance of an MBA in data analytics is evident in its impact on the Indian business landscape. Large and small-scale companies understand the need to harness data for strategic decision-making. Indian businesses now leverage data analytics to locate patterns, trends, and insights that drive success. Notable examples include using analytics for customer segmentation, market trend prediction, and operational optimization. <br><br>

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The Evolution of Data Analytics in India

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  1. The Evolution of Data Analytics in India The relevance of an MBA in data analytics is evident in its impact on the Indian business landscape. Large and small-scale companies understand the need to harness data for strategic decision-making. Indian businesses now leverage data analytics to locate patterns, trends, and insights that drive success. Notable examples include using analytics for customer segmentation, market trend prediction, and operational optimization. Role of Data Analytics in Indian Startups: ● In the vibrant landscape of Indian startups, data analytics is a game-changer. ● Fueling their competitive edge, startups are not just guessing; they're fine-tuning marketing strategies with the precision of data insights. ● These innovative startups aren't just players; they are setting the gold standard for the whole industry. ● SCIT's MBA program isn't just academically aware; it's deeply in sync with the dynamic heartbeat of the startup ecosystem. ● Real-world case studies aren't dry scenarios but windows into the challenges and triumphs startups face. Career Opportunities in Data Analytics: An MBA in data science commits to promising career paths. Graduates with Specialized Skills Can Explore Roles Such As: ● Data Scientists ● Business Analysts ● Data Consultants ● Diverse Applications of Data Analytics Across Industries: ● Healthcare ● Finance ● E-commerce

  2. The Impact of Data Analytics on Marketing in India ● In marketing, data analytics is transforming strategies. ● SCIT recognizes this shift and prepares students for the dynamic landscape. ● The program focuses on honing skills for personalized marketing campaigns. ● Emphasis is placed on analytics for understanding consumer behaviour. ● Tailoring marketing efforts is a key aspect of the program for maximum impact. Data Analytics in E-commerce ● Indian e-commerce giants use data analytics for customer insights, inventory management, and improving customer experience. ● SCIT's program incorporates insights from industry leaders, offering students a holistic understanding of data analytics in shaping online retail success. MBA in Data Science and Data Analytics at SCIT: Programme Objective: The MBA in Data Science and Data Analytics at SCIT is designed to develop management professionals for the data sciences and analytics stream. The program aims to provide a unique combination of strategic insights and real-time operational intelligence, preparing students for techno-functional roles in data sciences projects. Focus: The program offers actionable insights and addresses the long-felt need for analytical skills from an end-to-end information value chain perspective. SCIT ensures that candidates gain analytics competencies, hands-on experience with data science tools, and an ability to approach data using scientific methods. Learning Objectives: ● PO1: Apply relevant data-driven decision-making skills in a given business scenario. ● PO2: Identify, analyze, design, and evaluate machine learning-based measures to solve complex societal, business, and industry problems.

  3. ● PO3: Make socially and environmentally sustainable decisions and propose solutions having national/international standards. ● PO4: Demonstrate professional and personal ethics. ● PO5: Communicate effectively for business activities, including comprehension, presentation, and reporting. ● PO6: Develop an aptitude for research and lifelong learning. ● PO7: Apply cognitive thinking in designing AI-based solutions. ● PO8: Apply critical thinking to identify, analyze, and formulate business problems, evaluate problems, and develop profitable solutions. ● PO9: Recognize the need for innovation and entrepreneurial skills in the context of next-gen technology leading toward national development. Orientation and Pedagogy: SCIT adopts a holistic learning approach, shifting from exam orientation to knowledge orientation. The curriculum is designed to consolidate academic rigor with elements of research, brand-building, corporate interface, and process automation. Faculty members are more oriented towards creating evaluation methodologies that focus on concept-building and application development. Experiential Learning: Each course at SCIT reflects an element of experiential learning, fostering a natural and organic learning process. Students engage in concrete experiences, reflect, think abstractly, and make decisions, contributing to active experimentation and application of learned concepts. Flexi-Credits Courses: Flexi-credit courses at SCIT allow students to engage in diverse activities, promoting independent work. This additional work is expected to contribute to better performance in the classroom and on assignments, enhancing students' overall learning experience. Value-Add Courses: SCIT offers a variety of value-added courses beyond the regular program structure. These courses supplement the curriculum, preparing students to meet industry demands and

  4. explore new opportunities. The emphasis is on training and guiding students in building successful careers. Internships: Internships are integral to SCIT's academic programs, providing students with firsthand experience of business realities. Before working as interns, students undertake pilot projects mirroring real-world industry scenarios. SCIT's approach ensures students make a quick start in learning from the live environment during internships. Projects: Collaborative Projects: SCIT engages in collaborative projects, tracking technology advancements and transformations in businesses. Students and faculty undertake various industry and R&D projects, fostering a research-oriented learning environment. Capstone Project: SCIT offers capstone projects that encourage critical thinking, problem-solving, and research skills. The projects prepare students for modern careers and adult life and contribute to their development. Research and Development Projects: Research orientation is crucial to learning at SCIT. Students register and work on dissertations, contributing to broader research areas such as information security management. Conclusion: In conclusion, as India embraces the era of data analytics, SCIT stands as a trailblazer in providing a comprehensive education in MBA in Data Science India and Data Analytics. As the future unfolds, SCIT remains dedicated to shaping the next gen of professionals who will lead India's journey in data analytics and contribute to national development.

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