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INTEGRATED-BBA-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 Data Sciences specialization program at Krea University focuses on equipping students with analytical and strategic skills essential for the data-driven economy. It integrates core business fundamentals with advanced computational techniques, preparing graduates to tackle complex business challenges using data-driven insights. The Indian industry is experiencing immense demand for data science professionals across various sectors.
Who Should Apply?
This program is ideal for fresh graduates from diverse academic backgrounds with a strong aptitude for quantitative analysis and problem-solving, seeking entry into high-growth data roles. It also suits working professionals aiming to upskill in data analytics or career changers transitioning into data science and business intelligence roles within the rapidly expanding Indian tech landscape.
Why Choose This Course?
Graduates of this program can expect to pursue India-specific career paths such as Data Scientist, Business Analyst, Machine Learning Engineer, and AI Specialist, with entry-level salaries ranging from INR 6-10 LPA and experienced professionals earning INR 15-30+ LPA. Growth trajectories are robust in Indian startups and MNCs, often aligning with professional certifications in AI/ML and Big Data technologies.
Student Success Practices
Foundation Stage
Build Strong Analytical Foundations- (Semester 1-2)
Focus intensely on developing core mathematical, statistical, and logical reasoning skills. Engage with introductory programming concepts, particularly Python for data manipulation, through online courses and problem-solving platforms to prepare for advanced topics.
Tools & Resources
Coursera (Python for Everybody), Khan Academy (Statistics), HackerRank (Basic Algorithms)
Career Connection
A robust foundation is critical for excelling in data science subjects and provides the prerequisite knowledge for technical interviews and analytical roles in Indian companies.
Cultivate Interdisciplinary Thinking- (Semester 1-2)
Actively participate in Krea''''s interwoven curriculum by drawing connections between business principles, liberal arts perspectives, and quantitative methods. Engage in group discussions and projects that require integrating diverse knowledge areas to approach problems holistically.
Tools & Resources
Krea University''''s SIAS courses, Harvard Business Review articles, Case study analyses
Career Connection
This unique skill, highly valued in modern Indian workplaces, enables graduates to bridge the gap between technical data insights and strategic business decisions, essential for leadership roles.
Develop Effective Study and Research Habits- (Semester 1-2)
Establish a consistent study routine, leverage Krea''''s academic support services, and practice critical reading and research techniques. Learn to synthesize information from multiple sources and present findings clearly, fostering independent learning.
Tools & Resources
University Library resources, Academic writing workshops, Peer study groups
Career Connection
Strong academic discipline and research skills are fundamental for advanced coursework, capstone projects, and future professional roles requiring continuous learning and data-driven investigation.
Intermediate Stage
Gain Hands-on Data Science Skills- (Semester 3-5)
Actively seek opportunities to apply theoretical knowledge through practical projects involving data collection, cleaning, analysis, and visualization. Participate in university clubs focused on data analytics or technology to build a practical portfolio.
Tools & Resources
Kaggle competitions, GitHub for project showcase, Power BI/Tableau for visualization
Career Connection
Practical experience is paramount for data science roles. A strong project portfolio significantly enhances internship and job prospects, demonstrating tangible skills to Indian recruiters.
Seek Early Industry Exposure- (Semester 3-5)
Attend industry webinars, guest lectures, and workshops organized by the university or external bodies. Network with professionals in the data science field and explore short-term internships or virtual internships to understand real-world applications.
Tools & Resources
LinkedIn networking, Industry conferences (e.g., Data Science Congress India), Internshala
Career Connection
Early exposure helps align academic learning with industry expectations, informs career choices, and builds a professional network crucial for future placements in the competitive Indian job market.
Specialize and Deepen Technical Expertise- (Semester 3-5)
As specializations become available in the later years of the integrated program, choose electives aligned with your Data Sciences interest, focusing on areas like Machine Learning, Deep Learning, or Big Data technologies. Complete online certifications in these advanced topics.
Tools & Resources
edX (Data Science specializations), Google Cloud/AWS certifications, Advanced Python libraries (Pandas, Scikit-learn)
Career Connection
Deep specialization makes you a more attractive candidate for specific data science roles, demonstrating expertise beyond general knowledge and giving you an edge in Indian tech companies.
Advanced Stage
Undertake Impactful Capstone Projects- (Semester 6-8)
Work on a significant, real-world data science project, ideally in collaboration with an industry partner or addressing a social challenge. Focus on end-to-end problem-solving, from data acquisition to model deployment and impact assessment.
Tools & Resources
Institutional research labs, Industry mentors, Azure/GCP for cloud deployment
Career Connection
A strong capstone project is often a centerpiece of resumes, providing a tangible example of your skills and problem-solving abilities, highly valued by Indian employers during placements.
Intensify Placement Preparation and Networking- (Semester 6-8)
Actively engage in mock interviews, resume building workshops, and aptitude test preparation. Leverage Krea''''s career services for placement assistance. Expand your professional network through alumni connections and industry events.
Tools & Resources
Krea University Career Services, Glassdoor (interview prep), LinkedIn
Career Connection
Thorough preparation is vital for securing desirable placements in India''''s top tech and analytics firms. A strong network can open doors to unadvertised opportunities and referrals.
Develop Leadership and Communication Skills- (Semester 6-8)
Participate in student leadership roles, lead project teams, and hone your ability to articulate complex data insights to non-technical audiences. Effective communication is crucial for data scientists to influence business decisions and lead teams.
Tools & Resources
Public speaking clubs, Presentation software (PowerPoint, Google Slides), Storytelling with Data principles
Career Connection
Beyond technical skills, leadership and communication are key for career progression in Indian organizations, enabling transitions into managerial or client-facing data science roles.
Program Structure and Curriculum
Eligibility:
- 10+2 or equivalent from a recognized board, with a strong aptitude for critical thinking and learning (as per Krea University''''s admissions criteria).
Duration: 5 years / 10 semesters
Credits: Credits not specified
Assessment: Internal: undefined, External: undefined
