OUR PROGRAMS
MASTER'S IN DATA SCIENCE
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The Master's in Data Science program is carefully crafted to equip students with the necessary skills and knowledge for a successful career in data analysis, computing, and applied mathematics. This program aims to enhance students’ employability by providing them with a high level of expertise in the field.
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Upon completion of the program, graduates will possess the skills required to excel in the public and government sectors, opening up numerous opportunities for career advancement. Additionally, the private sector also offers promising prospects for graduates, as they will have a strong understanding of statistical analysis and automated decision-making processes. This valuable knowledge makes them desirable candidates for businesses, industries, and IT firms.
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Exafluence Education engages trainers with industry experience to deliver over 60 hours of training in Business English, Communication Skills and essential Soft Skills from the first semester of MS(DS) program. This training is interactive and activity-based, encouraging students to participate actively in discussions and gradually overcome any inhibitions. Through targeted Soft Skills training, students also develop critical skills in teamwork, adaptability, professional etiquette etc. By building these skills early in the program, Exafluence Education ensures that students are well-prepared to communicate effectively and collaborate confidently in real-world work environments.
OVERVIEW ​
The goal of the MSDS program:
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Present the students with techniques to manage complex data sets.
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Presents the students with data scientist skills to model and analyze data using algorithms and data driven computing programs.
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Present the students with data scientist skills to formulate and present analytics solutions that is appropriate to the stakeholders.
Duration
Programme
Delivery Mode (hybrid)
2 Years
Offline & Online
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The program features a curriculum comprising core and elective courses, selected by students in consultation with faculty from a diverse pool of subjects. With a modernized approach, it emphasizes 80% practical learning and 20% theoretical concepts, facilitating a progression from simple to complex domain knowledge. Mentorship from Exafluence industry professionals, along with case studies and projects, enriches the learning experience. In the fourth semester, students undertake a capstone project, applying their acquired knowledge to real-world challenges, thus reinforcing essential principles through comprehensive problem-solving exercises.
COMPREHENSIVE LEARNING
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A Master's in Data Science can open up a wide range of career opportunities in various industries. The demand for data scientists continues to grow as organizations seek to leverage the power of data for insights, decision-making, and problem-solving. Here are some potential career paths
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Data scientists gather, analyze, and interpret large datasets to uncover insights and solve business challenges. They use statistical methods, machine learning, and programming to build predictive models and provide data-driven solutions.
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Data analysts analyze data to find patterns and trends. They clean, transform, and interpret both structured and unstructured data, creating reports and visualizations to present findings. They may also help design data collection methods and databases.
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Machine learning engineers develop and deploy models to solve business problems. They focus on training, optimizing, and integrating algorithms into production systems, requiring expertise in machine learning techniques, programming, and relevant tools.
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Business intelligence analysts use data analysis and visualization to provide insights for decision-making. They create dashboards, reports, and work with stakeholders to identify business needs and improvement opportunities.
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Data engineers design, build, and maintain systems for efficient data collection, storage, and processing. They work with big data technologies, develop data pipelines, and ensure data quality. They collaborate with data scientists and analysts to provide reliable, accessible data.
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Data and analytics consultants help clients leverage data for strategic decisions and business growth. They provide expertise in data analysis, develop tailored solutions, and offer data-driven recommendations. Strong communication and problem-solving skills are key for working with diverse clients.
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Research scientists in data science work in academia or research institutions to advance the field by developing new methodologies and addressing complex problems. They employ data-driven approaches, contribute to academic publications, and collaborate with other researchers to push the boundaries of knowledge in the discipline.
These are just a few examples, and the field of data science offers numerous other career paths in areas such as healthcare, finance, cybersecurity, marketing, and more. The specific career opportunities may vary based on individual interests, specialization, and industry preferences.
CAREER OPPORTUNITIES
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