Data Science – Mahindra University

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B.Tech. in
Data Science

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Data Science

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In today’s digital era, data is more than just information — it’s a driving force behind innovation, business intelligence, and technological advancement.

The B.Tech in Data Science is a four-year undergraduate program that combines computer science, mathematics, and statistics to equip students with the skills to analyze large datasets and derive meaningful insights. The curriculum covers key areas such as Python, data mining, and even foundational concepts like quantum mechanics.
Students gain hands-on experience with tools and technologies used in real-world data applications, including Python, machine learning, data mining, artificial intelligence. The program also emphasizes critical thinking, problem-solving, and the ethical use of data.
With the growing demand for data professionals across industries such as finance, healthcare, e-commerce, and technology, graduates are well-positioned for roles like data analyst, data engineer, machine learning engineer, and AI specialist, or for further studies in advanced data science and related field.
What sets this program apart is its focus on applied learning. Students engage in lab work, live projects, case studies, and industry internships, ensuring they graduate not just with knowledge, but with real-world experience. Many programs also include capstone projects and opportunities to work with actual datasets from industry partners.

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Semester-wise Course Structure

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Mathematics-I (Calculus and ODE), Python, Introduction to Electrical & Electronics Engineering, Earth and Environmental Sciences, Introduction to Computing, English, Media Project, French-I, Introduction to Entrepreneurship.

[/fusion_table][/fusion_builder_column][fusion_builder_column type=”1_2″ layout=”1_1″ align_self=”auto” content_layout=”column” align_content=”flex-start” valign_content=”flex-start” content_wrap=”wrap” center_content=”no” column_tag=”div” target=”_self” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” sticky_display=”normal,sticky” order_medium=”0″ order_small=”0″ hover_type=”none” border_style=”solid” box_shadow=”no” box_shadow_blur=”0″ box_shadow_spread=”0″ background_type=”single” gradient_start_position=”0″ gradient_end_position=”100″ gradient_type=”linear” radial_direction=”center center” linear_angle=”180″ lazy_load=”avada” background_position=”left top” background_repeat=”no-repeat” background_blend_mode=”none” sticky=”off” sticky_devices=”small-visibility,medium-visibility,large-visibility” absolute=”off” filter_type=”regular” filter_hover_element=”self” filter_hue=”0″ filter_saturation=”100″ filter_brightness=”100″ filter_contrast=”100″ filter_invert=”0″ filter_sepia=”0″ filter_opacity=”100″ filter_blur=”0″ filter_hue_hover=”0″ filter_saturation_hover=”100″ filter_brightness_hover=”100″ filter_contrast_hover=”100″ filter_invert_hover=”0″ filter_sepia_hover=”0″ filter_opacity_hover=”100″ filter_blur_hover=”0″ transform_type=”regular” transform_hover_element=”self” transform_scale_x=”1″ transform_scale_y=”1″ transform_translate_x=”0″ transform_translate_y=”0″ transform_rotate=”0″ transform_skew_x=”0″ transform_skew_y=”0″ transform_scale_x_hover=”1″ transform_scale_y_hover=”1″ transform_translate_x_hover=”0″ transform_translate_y_hover=”0″ transform_rotate_hover=”0″ transform_skew_x_hover=”0″ transform_skew_y_hover=”0″ transition_duration=”300″ transition_easing=”ease” scroll_motion_devices=”small-visibility,medium-visibility,large-visibility” animation_direction=”left” animation_speed=”0.3″ animation_delay=”0″ last=”true” border_position=”all” first=”false”][fusion_title title_type=”text” scroll_reveal_effect=”color_change” scroll_reveal_basis=”chars” scroll_reveal_behavior=”always” scroll_reveal_duration=”500″ scroll_reveal_stagger=”200″ scroll_reveal_delay=”0″ scroll_reveal_above_fold=”yes” marquee_direction=”left” marquee_mask_edges=”no” marquee_speed=”15000″ rotation_effect=”bounceIn” display_time=”1200″ highlight_effect=”circle” loop_animation=”once” highlight_animation_duration=”1500″ highlight_width=”9″ highlight_smudge_effect=”no” highlight_top_margin=”0″ title_link=”off” link_target=”_self” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” sticky_display=”normal,sticky” content_align=”left” size=”4″ text_color=”var(–awb-color6)” text_shadow=”no” text_shadow_blur=”0″ text_stroke=”no” text_stroke_size=”1″ text_overflow=”none” gradient_font=”no” gradient_start_position=”0″ gradient_end_position=”100″ gradient_type=”linear” radial_direction=”center center” linear_angle=”180″ style_type=”none” animation_direction=”left” animation_speed=”0.3″ animation_delay=”0″]

Semester II

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Linear Algebra, Classical and Quantum Mechanics, Biology, Digital Logic Design & Computer Architecture, Data Structures and Algorithms, Discrete Mathematical Structures, Entrepreneurship Practice, Professional Ethics, French-II.

[/fusion_table][/fusion_builder_column][fusion_builder_column type=”1_2″ layout=”1_1″ align_self=”auto” content_layout=”column” align_content=”flex-start” valign_content=”flex-start” content_wrap=”wrap” center_content=”no” column_tag=”div” target=”_self” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” sticky_display=”normal,sticky” order_medium=”0″ order_small=”0″ hover_type=”none” border_style=”solid” box_shadow=”no” box_shadow_blur=”0″ box_shadow_spread=”0″ background_type=”single” gradient_start_position=”0″ gradient_end_position=”100″ gradient_type=”linear” radial_direction=”center center” linear_angle=”180″ lazy_load=”avada” background_position=”left top” background_repeat=”no-repeat” background_blend_mode=”none” sticky=”off” sticky_devices=”small-visibility,medium-visibility,large-visibility” absolute=”off” filter_type=”regular” filter_hover_element=”self” filter_hue=”0″ filter_saturation=”100″ filter_brightness=”100″ filter_contrast=”100″ filter_invert=”0″ filter_sepia=”0″ filter_opacity=”100″ filter_blur=”0″ filter_hue_hover=”0″ filter_saturation_hover=”100″ filter_brightness_hover=”100″ filter_contrast_hover=”100″ filter_invert_hover=”0″ filter_sepia_hover=”0″ filter_opacity_hover=”100″ filter_blur_hover=”0″ transform_type=”regular” transform_hover_element=”self” transform_scale_x=”1″ transform_scale_y=”1″ transform_translate_x=”0″ transform_translate_y=”0″ transform_rotate=”0″ transform_skew_x=”0″ transform_skew_y=”0″ transform_scale_x_hover=”1″ transform_scale_y_hover=”1″ transform_translate_x_hover=”0″ transform_translate_y_hover=”0″ transform_rotate_hover=”0″ transform_skew_x_hover=”0″ transform_skew_y_hover=”0″ transition_duration=”300″ transition_easing=”ease” scroll_motion_devices=”small-visibility,medium-visibility,large-visibility” animation_direction=”left” animation_speed=”0.3″ animation_delay=”0″ last=”false” border_position=”all” first=”true”][fusion_title title_type=”text” scroll_reveal_effect=”color_change” scroll_reveal_basis=”chars” scroll_reveal_behavior=”always” scroll_reveal_duration=”500″ scroll_reveal_stagger=”200″ scroll_reveal_delay=”0″ scroll_reveal_above_fold=”yes” marquee_direction=”left” marquee_mask_edges=”no” marquee_speed=”15000″ rotation_effect=”bounceIn” display_time=”1200″ highlight_effect=”circle” loop_animation=”once” highlight_animation_duration=”1500″ highlight_width=”9″ highlight_smudge_effect=”no” highlight_top_margin=”0″ title_link=”off” link_target=”_self” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” sticky_display=”normal,sticky” content_align=”left” size=”4″ text_color=”var(–awb-color6)” text_shadow=”no” text_shadow_blur=”0″ text_stroke=”no” text_stroke_size=”1″ text_overflow=”none” gradient_font=”no” gradient_start_position=”0″ gradient_end_position=”100″ gradient_type=”linear” radial_direction=”center center” linear_angle=”180″ style_type=”none” animation_direction=”left” animation_speed=”0.3″ animation_delay=”0″]

Semester III

Probability Data Engineering, Signals and Systems, Operating Systems, Foundations of Data Science, Programming Workshop, Data Science Workshop: R Programming, Lean Start-up, Principles of Economics, French-III.

Semester IV

Numerical Methods, Artificial Intelligence, Computational Methods for Statistics, Optimization Techniques for AI, Data Visualization, Data Science Workshop: MATLAB, Design Thinking, Financial Accounting, French-IV.

[/fusion_table][/fusion_builder_column][fusion_builder_column type=”1_2″ layout=”1_1″ align_self=”auto” content_layout=”column” align_content=”flex-start” valign_content=”flex-start” content_wrap=”wrap” center_content=”no” column_tag=”div” target=”_self” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” sticky_display=”normal,sticky” order_medium=”0″ order_small=”0″ hover_type=”none” border_style=”solid” box_shadow=”no” box_shadow_blur=”0″ box_shadow_spread=”0″ background_type=”single” gradient_start_position=”0″ gradient_end_position=”100″ gradient_type=”linear” radial_direction=”center center” linear_angle=”180″ lazy_load=”avada” background_position=”left top” background_repeat=”no-repeat” background_blend_mode=”none” sticky=”off” sticky_devices=”small-visibility,medium-visibility,large-visibility” absolute=”off” filter_type=”regular” filter_hover_element=”self” filter_hue=”0″ filter_saturation=”100″ filter_brightness=”100″ filter_contrast=”100″ filter_invert=”0″ filter_sepia=”0″ filter_opacity=”100″ filter_blur=”0″ filter_hue_hover=”0″ filter_saturation_hover=”100″ filter_brightness_hover=”100″ filter_contrast_hover=”100″ filter_invert_hover=”0″ filter_sepia_hover=”0″ filter_opacity_hover=”100″ filter_blur_hover=”0″ transform_type=”regular” transform_hover_element=”self” transform_scale_x=”1″ transform_scale_y=”1″ transform_translate_x=”0″ transform_translate_y=”0″ transform_rotate=”0″ transform_skew_x=”0″ transform_skew_y=”0″ transform_scale_x_hover=”1″ transform_scale_y_hover=”1″ transform_translate_x_hover=”0″ transform_translate_y_hover=”0″ transform_rotate_hover=”0″ transform_skew_x_hover=”0″ transform_skew_y_hover=”0″ transition_duration=”300″ transition_easing=”ease” scroll_motion_devices=”small-visibility,medium-visibility,large-visibility” animation_direction=”left” animation_speed=”0.3″ animation_delay=”0″ last=”false” border_position=”all” first=”true”][fusion_title title_type=”text” scroll_reveal_effect=”color_change” scroll_reveal_basis=”chars” scroll_reveal_behavior=”always” scroll_reveal_duration=”500″ scroll_reveal_stagger=”200″ scroll_reveal_delay=”0″ scroll_reveal_above_fold=”yes” marquee_direction=”left” marquee_mask_edges=”no” marquee_speed=”15000″ rotation_effect=”bounceIn” display_time=”1200″ highlight_effect=”circle” loop_animation=”once” highlight_animation_duration=”1500″ highlight_width=”9″ highlight_smudge_effect=”no” highlight_top_margin=”0″ title_link=”off” link_target=”_self” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” sticky_display=”normal,sticky” content_align=”left” size=”4″ text_color=”var(–awb-color6)” text_shadow=”no” text_shadow_blur=”0″ text_stroke=”no” text_stroke_size=”1″ text_overflow=”none” gradient_font=”no” gradient_start_position=”0″ gradient_end_position=”100″ gradient_type=”linear” radial_direction=”center center” linear_angle=”180″ style_type=”none” animation_direction=”left” animation_speed=”0.3″ animation_delay=”0″]

Semester V

Object-Oriented Programming, Machine Learning, Information Retrieval, Big Data Analysis, Program Elective 1, Program Elective 2, Liberal Arts Elective 1, Programming Workshop, Web Technology Workshop, French-V (Optional).

Semester VI

Data Mining, Software Engineering, Program Elective 3, Program Elective 4, Program Elective 5, Programming Workshop, Data Visualization Workshop, Introduction to Professional Development, Liberal Arts Elective 2, French-VI (Optional).

[/fusion_table][/fusion_builder_column][fusion_builder_column type=”1_2″ layout=”1_1″ align_self=”auto” content_layout=”column” align_content=”flex-start” valign_content=”flex-start” content_wrap=”wrap” center_content=”no” column_tag=”div” target=”_self” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” sticky_display=”normal,sticky” order_medium=”0″ order_small=”0″ hover_type=”none” border_style=”solid” box_shadow=”no” box_shadow_blur=”0″ box_shadow_spread=”0″ background_type=”single” gradient_start_position=”0″ gradient_end_position=”100″ gradient_type=”linear” radial_direction=”center center” linear_angle=”180″ lazy_load=”avada” background_position=”left top” background_repeat=”no-repeat” background_blend_mode=”none” sticky=”off” sticky_devices=”small-visibility,medium-visibility,large-visibility” absolute=”off” filter_type=”regular” filter_hover_element=”self” filter_hue=”0″ filter_saturation=”100″ filter_brightness=”100″ filter_contrast=”100″ filter_invert=”0″ filter_sepia=”0″ filter_opacity=”100″ filter_blur=”0″ filter_hue_hover=”0″ filter_saturation_hover=”100″ filter_brightness_hover=”100″ filter_contrast_hover=”100″ filter_invert_hover=”0″ filter_sepia_hover=”0″ filter_opacity_hover=”100″ filter_blur_hover=”0″ transform_type=”regular” transform_hover_element=”self” transform_scale_x=”1″ transform_scale_y=”1″ transform_translate_x=”0″ transform_translate_y=”0″ transform_rotate=”0″ transform_skew_x=”0″ transform_skew_y=”0″ transform_scale_x_hover=”1″ transform_scale_y_hover=”1″ transform_translate_x_hover=”0″ transform_translate_y_hover=”0″ transform_rotate_hover=”0″ transform_skew_x_hover=”0″ transform_skew_y_hover=”0″ transition_duration=”300″ transition_easing=”ease” scroll_motion_devices=”small-visibility,medium-visibility,large-visibility” animation_direction=”left” animation_speed=”0.3″ animation_delay=”0″ last=”false” border_position=”all” first=”true”][fusion_title title_type=”text” scroll_reveal_effect=”color_change” scroll_reveal_basis=”chars” scroll_reveal_behavior=”always” scroll_reveal_duration=”500″ scroll_reveal_stagger=”200″ scroll_reveal_delay=”0″ scroll_reveal_above_fold=”yes” marquee_direction=”left” marquee_mask_edges=”no” marquee_speed=”15000″ rotation_effect=”bounceIn” display_time=”1200″ highlight_effect=”circle” loop_animation=”once” highlight_animation_duration=”1500″ highlight_width=”9″ highlight_smudge_effect=”no” highlight_top_margin=”0″ title_link=”off” link_target=”_self” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” sticky_display=”normal,sticky” content_align=”left” size=”4″ text_color=”var(–awb-color6)” text_shadow=”no” text_shadow_blur=”0″ text_stroke=”no” text_stroke_size=”1″ text_overflow=”none” gradient_font=”no” gradient_start_position=”0″ gradient_end_position=”100″ gradient_type=”linear” radial_direction=”center center” linear_angle=”180″ style_type=”none” animation_direction=”left” animation_speed=”0.3″ animation_delay=”0″]

Semester VII

Program Elective 6, Program Elective 7, Program Elective 8, Program Elective 9, Liberal Arts Elective 3, Project, French-VII (Optional).

Semester VIII

Project, French-VIII (Optional).

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