Online MBA in Data Science Course at Amity University (AU), Noida Syllabus & Subjects Semester Wise

The Online MBA in Data Science syllabus at Amity University (AU), Noida is designed to provide overall knowledge to the students with a strong foundation. Online MBA in Data Science faculty at Amity University (AU) specially focus on in-depth learning to relevant subjects. At first semester syllabus of Online MBA in Data Science at Amity University (AU), students learn the basics of programme. A strong foundation is very important for comprehensive learning. Online MBA in Data Science syllabus at Amity University (AU), Noida maintains a balance between theoretical knowledge and practical knowledge.

Online MBA in Data Science first year students at Amity University (AU) are introduced with core subjects. Then they are encouraged to explore other area for a broader perspective. Amity University (AU), Noida also provides practical training sessions, workshops, projects, and case studies to enhance student skills. Online MBA in Data Science syllabus at Amity University (AU), Noida is also frequently updated to give industry relevant training and knowledge to students. Amity University (AU) strives to provide a nurturing environment where students can learn new skills. The hands-on training sessions at Amity University (AU) enable Online MBA in Data Science students to apply knowledge and skills in a controlled environment and get required experience.

According to syllabus of Online MBA in Data Science progress, students learn advanced topics and complex concepts. The Online MBA in Data Science curriculum at Amity University (AU), Noida mainly focuses on analytical and critical thinking. As the Online MBA in Data Science course unfolds, students develop several important skills that increases their employability. As per syllabus of Online MBA in Data Science at Amity University (AU) also includes real-life projects and internship programs. It helps students critical thinking and gives them real-world experience.

Online MBA in Data Science curriculum at Amity University (AU) includes group discussions, guest lectures, case studies, and skill development workshops to enhance the learning experience. The Online MBA in Data Science syllabus at Amity University (AU) aims to create well-rounded professionals equipped with the necessary skills and knowledge to succeed in their chosen fields.

Additional curriculum at Amity University (AU)

Workshops and Seminars - Regular sessions with industry experts help Online MBA in Data Science students at Amity University (AU) to stay updated with current trends.
Group Projects - Collaborative projects according to Amity University (AU) syllabus develop teamwork and problem-solving skills.
Case Studies - Online MBA in Data Science syllabus offers analysis of real-world scenarios to apply theoretical knowledge.
Extracurricular Activities - Amity University (AU) offers several activities like sports, clubs, societies, etc. to encourage overall development.

Note: Given below syllabus is based on the available web sources. Please verify with the Amity University (AU), Noida for latest Online MBA in Data Science curriculum.

Syllabus and Subjects of Online MBA in Data Science Course

The syllabus for an Online MBA in Data Science is meticulously designed to provide students with a comprehensive understanding of data-related topics. Core courses often cover areas such as data analysis, statistical modelling, data visualization, and business intelligence. Elective courses enable students to specialize in areas like machine learning, big data management, and predictive analytics. The syllabus integrates real-world data projects, case studies, and discussions to facilitate the practical application of data science concepts. Graduates emerge with the skills to analyze complex data sets and make data-driven decisions, preparing them for leadership roles in data-centric industries.

Here's the table of Subjects and Syllabus Semester Wise

Semester	Courses
Semester 1	Business Communication and Presentation Skills
	Managerial Economics
	Financial Accounting
	Business Statistics
	Introduction to Data Science and Analytics
Semester 2	Marketing Management
	Operations Management
	Managerial Finance
	Data Visualization and Reporting
	Predictive Analytics and Machine Learning
Semester 3	Strategic Management
	Data Mining and Big Data Analytics
	Database Management
	Business Intelligence and Decision Support Systems
	Natural Language Processing
Semester 4	Ethics and Corporate Governance
	Advanced Machine Learning
	Text Mining and Sentiment Analysis
	Data Privacy and Security
	Capstone Project or Internship