Data is crucial for today’s businesses because it helps make informed decisions based on trends, figures, and facts. As a result of the importance of data, data scientists have also become one of the sought-after professionals. In the era of increasing data dependency, demand for data scientists is only going to accelerate.

The aim of the program, Diploma in Data Science, is to provide the emerging students with a broad theoretical understanding and practical applications of the principles of Data Science. Students can learn more about Data Science, programming languages, various aspects of a data scientist’s role, and acquire hands-on experience using tools and techniques to gain a competitive advantage in this demanding discipline. We aim to equip students with a solid understanding of the core principles, methodological knowledge explicitly fashioned for data science and assist them in developing high-level proficiency in applying statistical techniques, standard probability, data mining, programming, data visualization, etc. and much more.

• The program’s core objective is to prepare the students for a quantitative career in the field of Data Science so that with the necessary attributes and skills, they can make a difference with data in the required and relevant areas
• Train learners to make data-driven decisions, develop software, and create statistical models using general-purpose coding languages
• Learners will be invigorated to acquire the competency to analyze, summarize, and visualize data sets and results from inferential processes for primary stakeholders
• Students will gain analytical and technical skills during the program for handling, analyzing, and operationalizing data

The Regional Maritime University accredits the two-year diploma course in Data Science offered by Balsam IT.

Some of the topics included in the flexible curriculum are as follows:

Algorithms, Pseudo-code, Python as a Language, Functions, Sequences and Iteration, Flow control, Recursion, Fundamentals of Relational Database Systems, Relational Database Design, Two-Phase Simplex and Revised Simplex Duality, Programming in the Java language, UML Algorithms, UML class diagrams, Data Modeling, Design theory, Data Mining, Data transmission, Design, Execute and Debug C++ programs, Use calculations in C++ programs, Use iterations in C++ programs and much more.

This course is ideal for Engineers, Junior Data Executive/Analyst, Marketing & IT Professionals, Subject Matter Experts, and Software Professionals.

Beginners who are interested in learning more about Data Science can also apply for the course. Students who have just graduated and are interested in a career in Data Science can also enroll in the course.

Today, data science is in high demand in IT and the big data industry as big data analytics advances at lightning speed. Some of the best career opportunities for Data Science students are as follows:

• Data Engineer
• Machine Learning Scientist
• Machine Learning Engineer
• Business Intelligence Developer
• Technology Specialized Roles
• Data Scientist
• Data Architect
• Data Administrator
• Data Analyst
• Business Analyst
• Data/Analytics Manager
• Business Intelligence Manager
• Applications Architect
• Infrastructure Architect
• Business Intelligence (BI) Developer
• Enterprise Architect
• Statistician

The course will employ varied methods of training or instruction to ensure maximum benefits for the students. Such instructional methods encompass seminars, lectures, audiovisual material, group discussions, case studies, and assignments. Mixed training modes will equip the students to gain knowledge from industry experts and subject matter experts, generate and exchange ideas and gain confidence.