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MBA in Data Sciences at Krea University
Sri Potti Sriramulu Nellore, Andhra Pradesh
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About the Specialization
What is Data Sciences at Krea University Sri Potti Sriramulu Nellore?
This Analytics program at Krea University''''s IFMR GSB focuses on equipping students with robust skills in data interpretation, statistical modeling, and machine learning essential for modern business decision-making. Given the rising demand for data-driven insights in the Indian industry, this specialization prepares professionals to harness big data, transform complex information into actionable strategies, and navigate the digital economy. It emphasizes practical application over theoretical knowledge, making it highly relevant for India''''s rapidly evolving tech and business landscape.
Who Should Apply?
This program is ideal for fresh graduates with a quantitative aptitude seeking entry into data-centric roles across various sectors. It also caters to working professionals aiming to upskill in advanced analytics, enhance their decision-making capabilities, or transition into roles like Data Analyst, Business Intelligence Specialist, or Analytics Consultant. Individuals with backgrounds in engineering, commerce, mathematics, or statistics who wish to apply their skills in a business context will find this program particularly beneficial.
Why Choose This Course?
Graduates of this program can expect to pursue dynamic career paths such as Business Analyst, Data Scientist, Analytics Manager, or Consultant in top Indian and multinational companies. Entry-level salaries typically range from INR 7-12 LPA, with experienced professionals commanding upwards of INR 20 LPA, depending on the role and industry. The program''''s comprehensive curriculum aligns with industry certifications in data science and machine learning, fostering significant growth trajectories within India''''s booming digital and analytics sector.
Student Success Practices
Foundation Stage
Strengthen Quantitative & IT Foundations- (Trimester 1-2)
Dedicate extra time to master core quantitative methods, statistics, and IT for Business concepts taught in Trimester 1 and 2. Utilize online platforms for practice and join peer study groups to solidify understanding of financial accounting and managerial economics.
Tools & Resources
Khan Academy, Coursera (for basic stats/IT), Peer Study Groups
Career Connection
A strong foundation in these areas is critical for understanding advanced analytics concepts and excelling in early-career data analysis roles.
Build Data Handling & Spreadsheet Proficiency- (Trimester 1-2)
Actively practice data manipulation and analysis using spreadsheet software like Microsoft Excel for financial modeling, statistical analysis, and data visualization. Work through case studies and business problems to apply theoretical knowledge practically.
Tools & Resources
Microsoft Excel, Online Excel courses, Financial Modeling exercises
Career Connection
Proficiency in Excel is a fundamental skill for any business role and a stepping stone for more advanced analytics tools.
Network and Explore Industry Trends- (Trimester 1-2)
Attend guest lectures, industry webinars, and alumni interaction sessions organized by the university. Start researching emerging trends in data science and analytics in the Indian context to understand industry expectations and potential career paths.
Tools & Resources
LinkedIn, Industry publications, Krea University alumni network
Career Connection
Early networking provides valuable insights, mentorship opportunities, and helps in identifying suitable internship and placement opportunities.
Intermediate Stage
Engage Actively in Summer Internship Project (SIP)- (After Trimester 3)
Approach the Summer Internship with a problem-solving mindset, focusing on applying learned analytics techniques to real-world business challenges. Seek mentorship from industry professionals and aim for deliverable-driven outcomes.
Tools & Resources
Industry mentors, Project management tools, Data analysis software (e.g., Python/R if applicable)
Career Connection
A successful SIP can lead to pre-placement offers, valuable industry experience, and a strong professional network.
Deep Dive into Analytics Electives- (Trimester 4-5)
Carefully select Analytics electives based on career interests and market demand. Go beyond classroom learning by working on mini-projects, participating in Kaggle competitions, or completing online certifications in specific analytical tools or techniques.
Tools & Resources
Kaggle, Coursera/edX (for ML/AI courses), Python/R programming environments
Career Connection
Specialized skills developed through electives and projects directly enhance employability in niche data science roles.
Develop Presentation & Communication Skills- (Trimester 3-5)
Regularly practice articulating complex analytical insights in a clear and concise manner, both verbally and through professional reports. Participate in case competitions and group presentations to hone these critical skills.
Tools & Resources
Toastmasters clubs, University presentation workshops, Mock interview sessions
Career Connection
Effective communication of data insights is crucial for roles that involve stakeholder management and influencing business decisions.
Advanced Stage
Master Advanced Analytics Tools and Techniques- (Trimester 5-6)
Focus on gaining expert-level proficiency in advanced analytics and machine learning tools such as Python, R, SQL, Tableau, Power BI, and specific cloud platforms (AWS/Azure/GCP). Work on a comprehensive Capstone Project leveraging these tools.
Tools & Resources
Python (libraries like Pandas, Scikit-learn), R, SQL, Tableau/Power BI, Cloud certifications
Career Connection
Advanced technical skills are non-negotiable for senior data science and analytics roles in the Indian market.
Strategic Placement Preparation- (Trimester 6)
Engage intensively with the placement cell, participate in mock interviews, and tailor your resume and cover letters to specific job descriptions in the analytics domain. Practice aptitude tests and technical interview questions rigorously.
Tools & Resources
Placement cell resources, InterviewBit, GeeksforGeeks, Company-specific preparation materials
Career Connection
Proactive and targeted preparation significantly increases the chances of securing desired roles with top companies during campus placements.
Build a Robust Professional Portfolio- (Throughout Trimester 4-6)
Document all projects, case studies, and internship experiences, highlighting the business impact and analytical techniques used. Create a professional online portfolio (e.g., GitHub, personal website) to showcase your capabilities to potential employers.
Tools & Resources
GitHub, Personal portfolio website, LinkedIn professional profile
Career Connection
A compelling portfolio provides tangible evidence of your skills and experience, making you stand out in the competitive Indian job market.
Program Structure and Curriculum
Eligibility:
- Minimum of 60% in Class X and XII, minimum of 50% in Undergraduate degree, consistent academic performance. Valid score in CAT/XAT/NMAT/CMAT/GMAT/GRE. Final year graduation students are also eligible.
Duration: 2 years (6 trimesters)
Credits: 116 credits Credits
Assessment: Assessment pattern not specified
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MG101 | Managerial Economics | Core | 4 | Demand and Supply Analysis, Market Structures and Pricing, Cost Analysis and Break-Even, Economic Decision Making, Macroeconomic Influences |
| FN101 | Financial Accounting | Core | 4 | Accounting Principles, Financial Statements, Journal and Ledger, Trial Balance, Ratio Analysis |
| QM101 | Quantitative Methods for Business | Core | 4 | Probability and Distributions, Statistical Inference, Regression Analysis, Hypothesis Testing, Optimization Techniques |
| OP101 | Operations Management | Core | 4 | Production Planning, Inventory Control, Quality Management, Process Design, Supply Chain Basics |
| MK101 | Marketing Management | Core | 4 | Marketing Mix, Consumer Behavior, Market Segmentation, Product Life Cycle, Branding Strategies |
| OB101 | Organisational Behavior | Core | 4 | Motivation Theories, Leadership Styles, Team Dynamics, Organisational Culture, Conflict Management |
| IT101 | IT for Business | Core | 4 | Database Management Systems, Enterprise Resource Planning, Digital Transformation, Cybersecurity Fundamentals, Cloud Computing Concepts |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| FN201 | Financial Management | Core | 4 | Capital Budgeting, Working Capital Management, Cost of Capital, Risk and Return, Valuation Principles |
| QM201 | Business Research Methods | Core | 4 | Research Design, Data Collection Methods, Sampling Techniques, Qualitative Research, Data Analysis Tools |
| SC201 | Supply Chain & Logistics Management | Core | 4 | Supply Chain Planning, Logistics Operations, Transportation Management, Warehousing Strategies, Supply Chain Risk |
| MK201 | Marketing Research | Core | 4 | Market Research Process, Survey Design, Data Analysis for Marketing, Consumer Insights, Marketing Information Systems |
| HR201 | Human Resources Management | Core | 4 | Recruitment and Selection, Performance Management, Training and Development, Compensation and Benefits, Employee Relations |
| MG201 | Legal and Ethical Aspects of Business | Core | 4 | Business Law Fundamentals, Corporate Governance, Business Ethics, Intellectual Property Rights, Consumer Protection |
| EN201 | Entrepreneurship & Innovation | Core | 4 | Startup Ecosystem, Business Plan Development, Innovation Process, Funding and Venture Capital, New Product Development |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| FN301 | Management Accounting | Core | 4 | Costing Methods, Budgeting and Control, Variance Analysis, Performance Measurement, Managerial Decision Making |
| SM301 | Strategic Management | Core | 4 | Strategic Analysis, Competitive Advantage, Corporate Strategy, Strategy Implementation, Global Strategic Issues |
| EC301 | Indian Economic & Policy Environment | Core | 4 | Indian Economy Overview, Economic Reforms, Sectoral Policies, Monetary Policy, Fiscal Policy |
| CX301 | Customer Experience Management | Core | 4 | Customer Journey Mapping, Service Design Principles, Digital Customer Experience, Customer Loyalty Programs, Feedback and NPS |
| SIP | Summer Internship Project | Project | 8 | Industry Problem Solving, Data Analysis, Report Writing, Presentation Skills, Practical Application of Concepts |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MG401 | Global Business Management | Core | 4 | International Trade Theories, Global Strategic Alliances, Cross-Cultural Management, International Finance, Market Entry Strategies |
| MG402 | Design Thinking for Business | Core | 4 | Empathize and Define, Ideation Techniques, Prototyping and Testing, Innovation Process, User-Centered Design |
| MG403 | Capstone Project/Business Simulation | Project | 4 | Strategic Decision Making, Integrated Business Planning, Problem Identification, Solution Development, Presentation and Justification |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| AN001 | Business Analytics | Elective (Analytics) | 4 | Descriptive Analytics, Predictive Analytics, Prescriptive Analytics, Data Visualization, Business Intelligence Tools |
| AN002 | Data Mining for Business Analytics | Elective (Analytics) | 4 | Data Preprocessing, Classification Algorithms, Clustering Techniques, Association Rule Mining, Text Mining Fundamentals |
| AN003 | Predictive Analytics | Elective (Analytics) | 4 | Regression Models, Time Series Analysis, Machine Learning Basics, Forecasting Techniques, Model Evaluation Metrics |
| AN004 | Big Data & Cloud Analytics | Elective (Analytics) | 4 | Hadoop Ecosystem, Spark Framework, Cloud Platforms (AWS, Azure), Data Warehousing, Data Lakes Concepts |
| AN005 | Machine Learning in Business | Elective (Analytics) | 4 | Supervised Learning, Unsupervised Learning, Deep Learning Introduction, Reinforcement Learning, AI Applications in Business |
| AN006 | AI for Business Decisions | Elective (Analytics) | 4 | AI Ethics and Governance, Decision Support Systems, Natural Language Processing, Computer Vision Basics, AI Strategy for Businesses |
| AN007 | Financial Analytics | Elective (Analytics) | 4 | Algorithmic Trading, Risk Analytics, Portfolio Optimization, Fraud Detection Techniques, Financial Forecasting Models |
| AN008 | Marketing Analytics | Elective (Analytics) | 4 | Customer Segmentation, Campaign Optimization, Web Analytics, Social Media Analytics, Pricing Analytics |
| AN009 | Supply Chain Analytics | Elective (Analytics) | 4 | Demand Forecasting, Inventory Optimization, Logistics Analytics, Network Design, Supply Chain Risk Analytics |
| AN010 | HR Analytics | Elective (Analytics) | 4 | Workforce Planning, Attrition Prediction, Talent Analytics, Performance Analytics, Employee Sentiment Analysis |
| AN011 | Operations Analytics | Elective (Analytics) | 4 | Process Optimization, Quality Control Analytics, Predictive Maintenance, Resource Allocation, Simulation Modeling |
| AN012 | Analytics for Social Good | Elective (Analytics) | 4 | Public Policy Analytics, Healthcare Analytics, Environmental Data Analysis, Social Impact Measurement, NGO Analytics |
