diff --git a/dpnp/tests/test_manipulation.py b/dpnp/tests/test_manipulation.py
index 22bd84e907e9..f86271851ef3 100644
--- a/dpnp/tests/test_manipulation.py
+++ b/dpnp/tests/test_manipulation.py
@@ -1105,7 +1105,7 @@ def test_ndarray(self):
         result = ia.reshape((2, 5))
         assert_array_equal(result, expected)
 
-    @testing.with_requires("numpy>=2.0")
+    @testing.with_requires("numpy>=2.1")
     def test_copy(self):
         a = numpy.arange(10).reshape(2, 5)
         ia = dpnp.array(a)
diff --git a/dpnp/tests/test_mathematical.py b/dpnp/tests/test_mathematical.py
index a8c278605886..6fe2e70bb59d 100644
--- a/dpnp/tests/test_mathematical.py
+++ b/dpnp/tests/test_mathematical.py
@@ -2445,10 +2445,10 @@ def test_out(self, func_params, dtype):
 
         assert result is dp_out
         # numpy.ceil, numpy.floor, numpy.trunc always return float dtype for
-        # NumPy < 2.0.0 while output has the dtype of input for NumPy >= 2.0.0
+        # NumPy < 2.1.0 while output has the dtype of input for NumPy >= 2.1.0
         # (dpnp follows the latter behavior except for boolean dtype where it
         # returns int8)
-        if numpy_version() < "2.0.0" or dtype == numpy.bool:
+        if numpy_version() < "2.1.0" or dtype == numpy.bool:
             check_type = False
         else:
             check_type = True
diff --git a/dpnp/tests/test_strides.py b/dpnp/tests/test_strides.py
index e265f3a8ba73..d51a033bf986 100644
--- a/dpnp/tests/test_strides.py
+++ b/dpnp/tests/test_strides.py
@@ -101,9 +101,10 @@ def test_1arg(func, dtype, stride):
     result = getattr(dpnp, func)(ia)
     expected = getattr(numpy, func)(a)
 
-    # numpy.ceil, numpy.floor, numpy.trunc always return float dtype for NumPy < 2.0.0
-    # while for NumPy >= 2.0.0, output has the dtype of input (dpnp follows this behavior)
-    if numpy.lib.NumpyVersion(numpy.__version__) < "2.0.0":
+    # numpy.ceil, numpy.floor, numpy.trunc always return float dtype for
+    # NumPy < 2.1.0 while for NumPy >= 2.1.0, output has the dtype of input
+    # (dpnp follows this behavior)
+    if numpy_version() < "2.1.0":
         check_type = False
     else:
         check_type = True