Master of Data Analytics

Imagine having a career in an industry that is constantly evolving. In this field, your valuable skills will make you a highly sought-after professional leading the way as the industry continues to grow. Data analytics opens up opportunities across various industries such as agriculture, business, finance, travel banking, and cyber tech.

The impact of big data and analytics can be seen in all types of organizations - from technology startups to multinational companies. Pursuing a Master of Data Analytics will equip you with the necessary skills to analyze large amounts of structured and unstructured data effectively, gain insights from it, and use this information for innovation by creating disruptive business solutions.

Career Paths

A profession in data analysis offers excellent employment opportunities. Possible positions encompass

• Business Analyst
• IT Systems Analyst
• Credit Analyst
• Corporate Strategy Analyst
• Social Media Data Analyst
• Operations Analyst
• Marketing Analyst
• Fraud Analyst
• Applications Architect
• Enterprise Architect
• Data Architect
• Data Scientist

Course Details

Studying Data Analytics will equip you with the expertise to integrate statistical principles and data with technology. You will also acquire essential skills such as critical thinking, project management, and analytical problem-solving. The industry-focused final year projects provide compelling chances to apply your knowledge in solving real-world challenges for top industry players. Students can opt for specializations including a Major in Software Engineering or specialized tracks like IoT Data Analytics or Cloud Networks.

Learning Outcomes

Graduates of this program will:

• Acquire a knowledge base drawn from disciplines such as Statistics, Applied Mathematics, Computer Ethics, Data Security and Privacy, Information Management and Machine Learning that is crucial for understanding and implementing modern and evolving Data Analytics principles and methods.
• Have the ability to explore and contrast various data analysis technologies and evaluate their efficiency for problem-solving and safeguarding data in diverse application scenarios.
• Showcase strong research, analysis, and evaluation skills within the field of Data Analytics while employing critical thinking to address complex real-world challenges.
• Demonstrate proficiency in independently leading data analytics project teams with a heightened level of autonomy and responsibility.
• Effectively collaborate with diverse stakeholders involved in Data Analytics projects within professional environments.