Data Science

Data Science Engineering Colleges in Bangalore

Data Science Engineering is a branch of engineering and it is one of the booming and most inspiring branches of engineering. In the realm of Data Science Engineering, the entire data lifecycle is covered, spanning data collection, data cleansing and preprocessing, exploratory data analysis, feature engineering, model development, training, and evaluation. Our course is meticulously crafted to align with current industry standards and anticipates future advancements, and we ensure that our graduates are equipped with the latest knowledge and skill sets. At one of the best Data Science Engineering Colleges in Bangalore.

Course Overview:

Data Science Engineering is an interdisciplinary domain that integrates techniques from mathematics, statistics, computer science, and domain-specific techniques to extract meaningful insights and information from complex datasets, enabling data-driven decision-making. Engineering in Data Science Students is equipped with the expertise to combine business insight, tools, and statistical methods to generate business value in unique and imaginative ways during the entirety of the program. Our robust curriculum of the Engineering in Data Science course focuses on teaching students the art of incorporating machine learning techniques, algorithms, tools, business acumen, and mathematics. It enables students to apply these skills to raw data, extracting valuable insights. The course emphasizes the importance of integrating technology, algorithm development, and analytical thinking to solve complex problems. Our data science course delves into the realm of deep learning, covering essential concepts and architectures such as artificial neural networks, convolutional neural networks (CNNs), and recurrent neural networks (RNNs). Students gain hands-on experience in applying these models to tackle intricate data analysis challenges. At one of the best Data Science Engineering Colleges in Bangalore.

Program objectives:

Cultivate a solid theoretical understanding of data science principles by building a strong foundation in mathematics, statistics, and computer science.
Develop a deep understanding of diverse data analysis techniques, machine learning algorithms, and statistical modeling methods, enabling the effective extraction of insights from complex datasets.
Develop a thorough understanding of the ethical and legal dimensions inherent in data science, including privacy, security, and responsible data usage.
Foster a culture of staying current with emerging trends, technologies, and advancements in data science, and cultivate a commitment to ongoing learning and skill development to thrive in the evolving industry.
Develop expertise in widely-used programming languages and tools for data science, including Python, R, SQL, and data visualization libraries, to manipulate and analyze data proficiently.
Promote an understanding of how data science drives business outcomes and empower individuals to transform data-driven insights into actionable recommendations for effective decision-making.

Engineering in Data Science Program Outcomes:

Graduates will exhibit mastery in navigating intricate datasets, uncovering patterns, and deriving meaningful insights through data interpretation.
Graduates will be proficient in applying a variety of machine learning algorithms and techniques to develop predictive models and facilitate data-driven decision-making processes.
Graduates will demonstrate a comprehensive understanding of business concepts and specialized domain knowledge, enabling them to effectively employ data science techniques in real-world business scenarios.
Graduates will exhibit outstanding collaboration and teamwork skills, fostering their ability to effectively collaborate in diverse teams and play a pivotal role in the accomplishment of data science projects.
Graduates will showcase a deep understanding of the ethical and legal considerations surrounding data work, encompassing privacy, security, and responsible data usage
Graduates will excel in visualizing and communicating complex data insights to diverse audiences using appropriate visualization techniques and tools.
Career Scope Job profiles

Data Science Engineering is a rapidly growing field, driven by the increasing availability of data and the need for businesses to leverage data to gain a competitive advantage. It offers an exciting broad range of career opportunities in various industries. They can become big data engineers to manage and process large-scale datasets, develop data pipelines, data scientists, statistical analysis, machine learning, and data visualization to derive actionable insights from data. It offers many career opportunities like data analyst, data consultant, Data Architect, Data Scientist, and Business Intelligence Analyst. Additionally, we promise all of our deserving students placement assistance across a variety of careers at one of the best Data Science Engineering Colleges in Bangalore.

● Data Scientist
● Machine Learning Engineer
● Data Analyst
● Big Data Engineer
● Business Intelligence Analyst
● Data Engineer
● AI Specialist
● Data Consultant
● Research Scientist
● Data Architect
● Machine Learning Engineer
● Data Science Engineer



Get our complete information for the engineering courses we offer by downloading the brochure.

Choose Demos Submit a Ticket Purchase Theme

Pre-Built Demos Collection

Consultio comes with a beautiful collection of modern, easily importable, and highly customizable demo layouts. Any of which can be installed via one click.

Business Construction
Business Coach
Finance 2
Corporate 1
Corporate 2
Corporate 3
Business 1
Business 2
Business 3
IT Solution
Tax Consulting
Human Resource
Life Coach
Finance RTL