Announcements:

MCA In Data Science

In the era of big data, the Master of Computer Applications (MCA) program with a specialization in Data Science stands at the forefront of technological innovation. Data Science has emerged as a crucial discipline, empowering organizations to extract actionable insights from vast and complex datasets. By harnessing statistical analysis, machine learning algorithms, and data visualization techniques, Data Science professionals uncover patterns, trends, and correlations that drive informed decision-making and strategic planning.

The MCA program in Data Science is meticulously designed to equip students with the advanced knowledge and skills required to excel in this dynamic field. Through a comprehensive curriculum covering statistics, programming, machine learning, and data mining, students gain a deep understanding of the theoretical foundations and practical applications of Data Science. Hands-on projects, internships, and industry collaborations provide students with real-world experience, allowing them to apply their knowledge to solve complex problems and derive actionable insights from real-world datasets. Upon completion of the program, graduates emerge as proficient Data Scientists, capable of leveraging cutting-edge technologies and methodologies to extract value from data and drive innovation across various industries. Whether pursuing careers in data-driven decision-making, predictive analytics, or artificial intelligence, MCA Data Science graduates are well-equipped to meet the challenges and opportunities of the rapidly evolving digital landscape.

Duration

MCA (3 Years)

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Eligibility

BCA, BSC(IT),B.Tech (CSE)

INDUSTRY LED LEARNING

For an accelerating professional career in 21st Century along with Core Skills, the learner should evolve through Self-directed Learning.

Hands-on Real World Projects

Gain practical experience by working on real world industry projects thereby gaining “campus-industry” experience

On Job learning Experience

Gain valuable on-the-job training while still studying, solving real-world problems and finding practical solutions.

Diverse Career Opportunities

Specialize in web development, mobile apps, enterprise software, data security, game development, and more. This flexibility allows you to find a career path that aligns with your interests and goals.

Engaging with Industry Experts

Engaging with industry experts provides invaluable insights and real-world perspectives, enriching the learning experience and preparing students for professional success.

Industry/ Skill Certifications

Validate expertise and proficiency, enhancing employability and credibility in competitive job markets while signaling commitment to continuous learning and professional development.

World Skill Challenge

World Skill Challenge Showcase the pinnacle of vocational excellence, fostering global collaboration and innovation to advance technical skills and craftsmanship across diverse industries

Academic Framework

For an accelerating professional career in 21st Century along with Core Skills, the learner should evolve through Self-directed Learning, Self-awareness, Multidisciplinary Problem Solving, Practice of Professional Grade, Digital Comfort, Current Social and Global Dynamics, Employability and Life Skills. MSU offers an opportunity to customise the higher education with range of specialisation/electives.

Foundation Core

A range of compulsory basics of multidisciplinary, professional, general nature customised to match the value and vision of MSU for a robust foundation.

Skill Drill (Elective)

A range of compulsory basics of multidisciplinary, professional, general nature customised to match the value and vision of MSU for a robust foundation.

Major (Elective)

A range of compulsory basics of multidisciplinary, professional, general nature customised to match the value and vision of MSU for a robust foundation.

Minor (Elective)

A range of compulsory basics of multidisciplinary, professional, general nature customised to match the value and vision of MSU for a robust foundation.

Industry Practice

A range of compulsory basics of multidisciplinary, professional, general nature customised to match the value and vision of MSU for a robust foundation.

Capstone Project

A range of compulsory basics of multidisciplinary, professional, general nature customised to match the value and vision of MSU for a robust foundation.

PROGRAMME OUTCOMES

PSO 1:

Graduates will demonstrate proficiency in collecting, preprocessing, analyzing, and visualizing large-scale datasets using advanced statistical techniques, machine learning algorithms, and data visualization tools to extract actionable insights and knowledge.

PSO 2:

Graduates will develop expertise in machine learning algorithms, models, and techniques, enabling them to build and evaluate predictive models, classification systems, and recommender systems for various applications and domains.

PSO 3:

Graduates will develop expertise in machine learning algorithms, models, and techniques, enabling them to build and evaluate predictive models, classification systems, and recommender systems for various applications and domains.

PSO 4:

Graduates will apply data science principles and methodologies to solve real-world business problems, providing actionable insights, recommendations, and decision support tools to help organizations make data-driven decisions and achieve strategic objectives.

PSO 5:

Graduates will demonstrate awareness of ethical, legal, and social issues related to data science, including privacy concerns, bias in data analysis, and responsible use of data, and adhere to ethical guidelines and professional standards in their work.

PSO 1:

Demonstrate the capability for complex problem-solving

PSO 2:

Demonstrate the capability for critical thinking

PSO 3:

Demonstrate the ability for creativity

PSO 4:

Demonstrate the skills that enable them to communicate effectively

PSO 5:

Demonstrate the capability for analytical reasoning/thinking

PSO 6:

Demonstrate the ability for coordinating and collaborating with others

PSO 7:

Demonstrate the capability for leadership readiness

PSO 8:

Demonstrate ‘learning how to learn" skills

PSO 9:

Demonstrate the capability for digital and technological skills

PSO 10:

Demonstrate multicultural competence and inclusive spirit

PSO 11:

Demonstrate the acquisition of knowledge and attitude that are required for value inculcation

PSO 12:

Demonstrate the ability for autonomy, responsibility, and accountability

PSO 13:

Demonstrate the acquisition of and ability to apply the knowledge, skills, attitudes, and values required to take appropriate actions for environmental awareness and action

PSO 14:

Demonstrate the capability to participate in community-engaged services/ activities for promoting the wellbeing of society.

PSo 15:

Demonstrate the ability to identify with or understand the perspective, experiences, or points of view of another individual or group, and to identify and understand other people’s emotions

Learning by Doing

Industry Partners

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