Master of Computer Applications - Data Science

To provide practical exposure and industry readiness, Alliance University's Master of Computer Applications in Data Science programme incorporates real-world projects, case studies, and internships as essential components of its curriculum. With an emphasis on striking a balance between academic understanding and real-world applications, the curriculum equips students with practical expertise to address data-driven issues in the real world.

Information technology, e-commerce, healthcare, banking, consulting, telecommunications, and the startup environment are just a few of the many domains that employ MCA-Data Science graduates. MCA graduates are sought after by the industry for positions like Data Scientists, Machine Learning Engineers, Data Analysts, and Cloud Computing Specialists, where they synthesise data to create solutions across a range of industries.

A ‘Term Paper/Research Publication’ in the third semester and a ‘Dissertation Project’ in the fourth semester are part of the M. Sc. in Data Science curriculum, which specifically incorporates research. The University also offers +15 Centres of Excellence for advanced research and learning. This suggests a considerable emphasis on research through the MCA curriculum at Alliance University.

To improve practical skills, the MCA programme incorporates project-based study, industry exposure, and workshops in the curriculum. In addition to this, students can pursue certifications through various platforms like Coursera.

The MCA in Data Science programme offered by Alliance School of Advanced Computing is intended to shape graduates into data science leaders with the right balance of analytics to statistics in a variety of application domains. Through exposure to the frontier of statistics, machine learning, big data analytics, and artificial intelligence, the curriculum helps students gain experience using a variety of data science tools and methodologies to solve real-world challenges.

The MCA in Data Science curriculum is a two-year programme spread across four semesters, focused on using computer science, math, and statistics to create data-driven solutions. Core curriculum topics include Mastering Python, Advanced Data Science Techniques, Database Design, and Advanced Data Structures & Algorithms, with an emphasis on project-based learning and industry-relevant skills.

By developing a solid foundation in mathematics, statistics, and computer science and building practical abilities in data mining, machine learning, and data visualisation using Python and R, the programme equips students for careers in business analytics and data engineering across diverse disciplines of AI, blockchain, IoT, and more.

For admission to Alliance University, MCA aspirants must apply online. Following the application screening, candidates must take an online aptitude test and then appear in person for an interview. For more details, please view the Admission Process Page.

Indeed. We have category-based scholarships offered for MCA aspirants. Please refer to the Scholarship Page for more details.

MCA in Data Science offers hands-on learning through internships, live industry projects with collaborations, and case studies to provide real-world experience in data mining, machine learning, and analytics. Students gain practical exposure to trending tools like Python, R, and SQL with actual datasets, supported by faculty with industry experience and a dedicated Career Advancement and Networking (CAN) office.

The CAN (Career Advancement and Networking) office at Alliance University assists students in comprehending their careers, navigating new opportunities, advising them on career routes, preparing them for interviews, and guiding them through the complexities of job searches. The department also organises webinars, corporate mentorships, seminars, industry training, certification programmes, workshops, live projects, and industry visits. With a network of over 1000 recruiting partners, the University has a strong placement rate for MCA graduates.

The current, diverse demands of the global tech sector are the foundation of the MCA in Data Science curriculum. It equips students for a range of in-demand positions in both Indian and foreign markets, paving the way for students into the global market.

The MCA programme trains students with the technical skills in programming, machine learning, and statistical analysis that are necessary to extract insights from the huge volumes of data that the healthcare, retail, and finance industries generate. So, an MCA- Data Science is highly relevant to non-IT industries as well.

By developing a solid foundation in mathematics, statistics, and computer science, along with hands-on training in data mining, machine learning, and data visualisation using Python and R, Alliance University's MCA curriculum equips students for careers in corporate analytics and data engineering.