MASTERS IN DATA SCIENCE BY Collège de Paris

The industry-relevant curriculum provides the skills to extract valuable insights from big data. This program provides expertise in statistical modeling, data management, machine learning, data visualization, software development, research design, data ethics, and user experience to meet the growing needs of industry, nonprofits, government agencies and other organizations. According to a McKinsey Global Institute report, data scientist is one of the best jobs in the United States, and there will be a huge demand for data scientists across industries over the next decade. This curriculum provides an opportunity to build knowledge and professional skills in a variety of data science areas that are in high demand in today's job market.

Why Data Science?

• Data science helps businesses leverage social media content to capture real-time usage patterns of media content. It enables businesses to create targeted content, measure content performance, and recommend on-demand content. Retailers use data science to improve customer experience and customer retention.
• Data science is widely used in banking and the financial sector for fraud detection and personalized financial advice.
• Transportation agencies are using data science to improve transportation for their customers. For example, Transport for London maps customer journeys with personalized transport details and uses statistical data to manage unforeseen circumstances.
• Construction companies use data science to make better decisions by tracking activities such as average time to complete tasks, material-based spend, and more.
• Data science enables the interception and analysis of vast amounts of data from previously untapped manufacturing processes.
• Data science allows you to analyze massive amounts of graphical, time-series, and geospatial data to gain insights. It is also useful for seismic interpretation and reservoir characterization.
• In the healthcare industry, doctors are using data science to analyze data from wearable trackers to ensure patient health and make critical decisions. Data science also enables hospital administrators to reduce wait times and improve care.
• Data science helps explore utility consumption in the energy and utilities sector. This research will allow us to scrutinize utility usage and improve consumer feedback.
• Public sector data science applications include health-related research, financial market analysis, fraud detection, energy exploration, and environmental protection.

Learning Outcomes

• Be well versed in analytics tools and technologies such as Python, Tableau, SQL
• Build statistical models and understand their power and limitations
• Apply industry-relevant machine learning techniques such as Regression, Predictive Modeling, Clustering, Time Series Forecasting, Classification, etc.
• Acquire, clean, and manage data
• Visualize data for exploration, analysis, and communication
• Present yourself as an ideal candidate for analyst, data engineer, and data scientist roles within leading analytics companies Manage and analyze massive data sets
• Assemble computational pipelines to support data science from widely available tools
• Conduct data science activities aware of and according to policy, privacy, security and ethical considerations
• Apply problem-solving strategies to open-ended questions
• Be well versed in Deep learning, Natural Language Processing (NLP).